CN105513021A - Image noise reduction device and method - Google Patents

Abstract

The invention discloses an image noise reduction device and method, and the method comprises the steps: obtaining a plurality of continuous frame images photographed by a terminal, enabling one of the frame images to serve as a sample image, and enabling the other frame images to serve as to-be-compared images; respectively obtaining the brightness values of R, G and B components of all pixels of the sample image, and the brightness values of R, G and B components of all pixels of the to-be-compared images; and obtaining the image after noise reduction according to the mean value of the brightness values of R components of all pixels of the sample image and the to-be-compared images, the mean value of the brightness values of G components of all pixels of the sample image and the to-be-compared images and the mean value of the brightness values of B components of all pixels of the sample image and the to-be-compared images if the difference between the brightness value of the R components of all pixels of the sample image and the to-be-compared images, the difference between the brightness value of the G components of all pixels of the sample image and the to-be-compared images and the difference between the brightness value of the B components of all pixels of the sample image and the to-be-compared images are within a first preset range. The method and device solve problems of large calculation burden and poor effect of noise reduction in a noise reduction process of the image, and also solve a problem that the details of the edge of the image are liable to be lost.

Description

Image denoising device and method

technical field

The present invention relates to the image field, in particular to an image denoising device and method.

Background technique

With the development of science and technology, the camera function of smart phones is becoming more and more perfect. Compared with digital cameras, smart phones are small in size and easy to carry. Therefore, more and more people are more keen on using the smart phone camera function to record the beautiful moments in life. At the same time, people's requirements for the image quality captured by smartphones are getting higher and higher. However, if the brightness is not enough, the image captured by the smart phone will often contain some noise (luminance noise plus chroma noise), and the lower the brightness, the greater the noise. Due to the existence of noise, it will seriously affect the quality of the image. quality.

Traditional denoising algorithms include: mean, median, Gaussian filtering, bilateral filtering, etc. Bilateral filtering can better preserve the edge while removing the noise, but the filtering effect is not obvious when the noise is relatively large, and the amount of calculation is large. When the filtering window is enlarged, it is difficult to achieve real-time processing; Mean, median, and Gaussian can better filter out noise, but it is easy to blur the edges, and it is difficult to achieve real-time processing as the filtering window increases. There is also 3D (3Dimensions, three-dimensional) denoising with motion estimation. In the process of using 3D denoising with motion estimation, motion estimation must be performed first, and then 3D denoising operation, and motion estimation requires a lot of , and cannot guarantee 100% accuracy.

Contents of the invention

The main purpose of the present invention is to propose an image denoising device and method, aiming to solve the technical problems of large amount of calculation, poor denoising effect, and easy loss of image edge details in the process of image denoising in the prior art .

In order to achieve the above object, the present invention provides an image denoising device, which includes:

The first acquisition module is configured to acquire continuous multi-frame images taken by the terminal, and use one of the multi-frame images as a sample image, and the rest as images to be compared, wherein the format of the multi-frame images is: RGB image format;

The second acquisition module is used to respectively acquire the brightness values of the R, G and B components of each pixel point of the sample image, and the brightness values of the R, G and B components of each pixel point of the image to be compared;

A processing module, configured to if the difference between the luminance values of the R, G and B components of each pixel of the sample image and the luminance values of the R, G and B components corresponding to each pixel of the image to be compared Within a preset range, the denoised image is obtained according to the average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component between the image to be compared and each pixel point of the sample image. Image.

Optionally, the image denoising device also includes:

a calculation module, configured to calculate the difference between the brightness values of the R, G and B components of each pixel of the sample image and the brightness values of the R, G and B components corresponding to each pixel of the image to be compared, using said difference as a first difference;

A judging module, configured to judge whether the first difference is not within the first preset range;

A selecting module, configured to select a preset number of pixels within a preset range of each pixel of the sample image if none of the first difference values is within the first preset range;

The second obtaining module is also used to obtain brightness values of R, G and B components of the preset number of pixels;

The calculation module is also used to separately calculate the difference between the brightness values of the R, G and B components of the preset number of pixels and the brightness values of the R, G and B components of the sample image pixels value, as the second difference;

The processing module is further configured to: if the second difference is within a second preset range, according to the preset number of pixels corresponding to the second preset range and the sample The average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component among each pixel of the image obtain the image after denoising.

Optionally, the judging module is further configured to judge whether the second difference is within a second preset range;

The image denoising device further includes a discarding module, configured to discard the second difference that is not within the second preset range if the second difference is not within the second preset range The corresponding preset number of pixels.

Optionally, the processing module includes:

An acquiring unit, configured to acquire the preset number of pixels corresponding to the second difference within the second preset range if the second difference is within the second preset range Luminance values of the R, G and B components of ;

The first calculation unit is used to separately calculate the average value of R component luminance values, the average value of G component luminance values and the B component luminance between the obtained preset number of pixels and each pixel point of the sample image the average of the values;

The first processing unit is configured to recombine the average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component into new pixels, so as to obtain a denoised image.

Optionally, the processing module also includes:

The determination unit is configured to determine if the difference between the luminance values of the R, G and B components of each pixel of the sample image and the luminance values of the R, G and B components corresponding to each pixel of the image to be compared Within a preset range, determine the brightness values of the R, G, and B components of the respective pixels of the image to be compared corresponding to the difference within the first preset range;

The second calculation unit is used to respectively calculate the average value of the R component brightness value, the average value of the G component brightness value and the average value of the G component brightness value between the image to be compared and each pixel point of the sample image within the first preset range. The average value of the brightness value of the B component;

The second processing unit is configured to recombine the average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component into new pixels, so as to obtain a denoised image.

In addition, in order to achieve the above object, the present invention also provides an image denoising method. The method includes the following steps:

Acquiring continuous multi-frame images taken by the terminal, using one of the multi-frame images as a sample image, and the rest as images to be compared, wherein the format of the multi-frame images is an RGB image format;

Respectively acquire brightness values of R, G and B components of each pixel point of the sample image, and brightness values of R, G and B components of each pixel point of the image to be compared;

If the difference between the brightness values of the R, G and B components of each pixel of the sample image and the brightness values of the R, G and B components corresponding to each pixel of the image to be compared is within the first preset range , the image after denoising is obtained according to the average value of R component luminance values, the average value of G component luminance values and the average value of B component luminance values between the image to be compared and each pixel point of the sample image.

Optionally, after the step of respectively acquiring the brightness values of the R, G and B components of each pixel point of the sample image, and the brightness values of the R, G and B components of each pixel point of the image to be compared, further include:

Calculate the difference between the brightness values of the R, G and B components of each pixel of the sample image and the brightness values of the R, G and B components corresponding to each pixel of the image to be compared, and convert the difference as the first difference;

judging whether the first difference is not within a first preset range;

If none of the first difference values is within the first preset range, selecting a preset number of pixels within a preset range of each pixel of the sample image;

Obtain the brightness values of the R, G and B components of the preset number of pixels;

Calculate the difference between the luminance values of the R, G, and B components of the preset number of pixels and the luminance values of the R, G, and B components of the sample image pixels, as the second difference;

If the second difference is within the second preset range, according to the R between the preset number of pixels corresponding to the second preset range and each pixel of the sample image The average value of component luminance values, the average value of G component luminance values, and the average value of B component luminance values obtain a denoised image.

Optionally, calculating the difference between the luminance values of the R, G and B components of the preset number of pixels and the luminance values of the R, G and B components of the sample image pixels, After the second difference step, also include:

judging whether the second difference is within a second preset range;

If the second difference value is not within the second preset range, discarding the preset number of pixel points corresponding to the second difference value not within the second preset range.

Optionally, if the second difference is within a second preset range, according to the difference between the preset number of pixels corresponding to the second preset range and the sample image The average value of the R component luminance value, the average value of the G component luminance value and the average value of the B component luminance value between each pixel point obtain a denoised image. The steps include:

If the second difference is within the second preset range, obtain the R, G and R values of the preset number of pixels corresponding to the second difference within the second preset range The brightness value of the B component;

Calculate the average value of R component brightness values, the average value of G component brightness values, and the average value of B component brightness values between the obtained preset number of pixels and each pixel point of the sample image;

The average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component are recombined into new pixels to obtain a denoised image.

Optionally, if the difference between the brightness values of the R, G and B components of each pixel of the sample image and the brightness values of the R, G and B components corresponding to each pixel of the image to be compared is within Within the first preset range, denoising is obtained according to the average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component between the image to be compared and each pixel point of the sample image The steps after the image include:

If the difference between the brightness values of the R, G and B components of each pixel of the sample image and the brightness values of the R, G and B components corresponding to each pixel of the image to be compared is within the first preset range , then determine the luminance values of the R, G and B components of the respective pixels of the image to be compared corresponding to the difference within the first preset range;

respectively calculating the average value of R component brightness values, the average value of G component brightness values and the average value of B component brightness values between the image to be compared and each pixel point of the sample image within the first preset range ;

The average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component are recombined into new pixels to obtain a denoised image.

The present invention separately obtains the brightness values of the R, G and B components of the sample image in the terminal, and the brightness values of the R, G and B components of each pixel of the image to be compared, when the R, G and B components of the sample image If the corresponding difference between the luminance value of the image to be compared and the luminance values of the R, G, and B components of each pixel of the image to be compared is within the first preset range, then according to the image to be compared and each pixel of the sample image The average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component among the points obtain the image after denoising. By denoising the luminance values of the R, G and B components of the image respectively, and then recombining the luminance values of the denoised R, G and B components into new pixels, and using the new pixels as The pixel of the denoised image is used to obtain the denoised image, which avoids the problem of large amount of calculation in the process of image denoising, poor denoising effect, and easy loss of image edge details.

Description of drawings

FIG. 1 is a schematic diagram of a hardware structure of an optional mobile terminal for implementing various embodiments of the present invention;

Fig. 2 is the electrical structural block diagram of camera in Fig. 1;

3 is a schematic diagram of functional modules of the first embodiment of the image denoising device of the present invention;

4 is a schematic diagram of functional modules of the second embodiment of the image denoising device of the present invention;

5 is a schematic flow chart of the first embodiment of the image denoising method of the present invention;

FIG. 6 is a schematic flowchart of a second embodiment of the image denoising method of the present invention;

FIG. 7 is a schematic diagram of an image captured by a terminal without denoising processing in an embodiment of the present invention;

FIG. 8 is a schematic diagram of an image captured by a terminal in an embodiment of the present invention after denoising processing;

9 is a schematic diagram of a terminal selecting a preset number of pixels within a preset range of a certain pixel in a sample image in an embodiment of the present invention;

10 is a schematic diagram of the luminance value of the R component of a certain pixel of the sample image and the luminance values of the R component of a preset number of pixels in the embodiment of the present invention.

The realization of the purpose of the present invention, functional characteristics and advantages will be further described in conjunction with the embodiments and with reference to the accompanying drawings.

detailed description

It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

A mobile terminal implementing various embodiments of the present invention will now be described with reference to the accompanying drawings. In the following description, use of suffixes such as 'module', 'part' or 'unit' for denoting elements is only for facilitating description of the present invention and has no specific meaning by itself. Therefore, "module" and "component" may be mixedly used.

Mobile terminals may be implemented in various forms. For example, terminals described in the present invention may include devices such as mobile phones, smart phones, notebook computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Tablet Computers), PMPs (Portable Multimedia Players), navigation devices, etc. mobile terminals and fixed terminals such as digital TVs, desktop computers, etc. In the following, it is assumed that the terminal is a mobile terminal. However, those skilled in the art will understand that the configuration according to the embodiments of the present invention can also be applied to stationary type terminals, in addition to elements specifically used for mobile purposes.

FIG. 1 is a schematic diagram of a hardware structure of an optional mobile terminal for implementing various embodiments of the present invention.

The mobile terminal 100 may include an A/V (audio/video) input unit 120, a user input unit 130, a sensing unit 140, an output unit 150, a memory 160, an interface unit 170, a controller 180, a power supply unit 190, and the like. FIG. 1 shows a mobile terminal having various components, but it is understood that implementing all shown components is not a requirement. Greater or fewer components may alternatively be implemented. Elements of the mobile terminal will be described in detail below.

The A/V input unit 120 is used to receive audio or video signals. The A/V input unit 120 may include a camera 121 that processes image data of still pictures or videos obtained by an image capture device in a video capture mode or image capture mode, and a microphone 122 . The processed image frames may be displayed on the display unit 151 . The image frames processed by the camera 121 may be stored in the memory 160 (or other storage medium), and two or more cameras 121 may be provided according to the configuration of the mobile terminal. The microphone 122 may receive sound (audio data) via the microphone in a phone call mode, recording mode, voice recognition mode, and the like operating modes, and can process such sound as audio data. The processed audio (voice) data may be converted into a format transmittable to a mobile communication base station via the mobile communication module 112 for output in case of a phone call mode. The microphone 122 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the process of receiving and transmitting audio signals.

The user input unit 130 may generate key input data according to commands input by the user to control various operations of the mobile terminal. The user input unit 130 allows a user to input various types of information, and may include a keyboard, domes, touch pad (e.g., a touch-sensitive component that detects changes in resistance, pressure, capacitance, etc. due to being touched), a scroll wheel , joystick, etc. In particular, when a touch pad is superimposed on the display unit 151 in a layer form, a touch screen may be formed.

The sensing unit 140 detects the current state of the mobile terminal 100, (for example, the open or closed state of the mobile terminal 100), the position of the mobile terminal 100, the presence or absence of the user's contact with the mobile terminal 100 (that is, a touch input), the mobile terminal 100, the acceleration or movement and direction of the mobile terminal 100, etc., and generate commands or signals for controlling the operation of the mobile terminal 100. For example, when the mobile terminal 100 is implemented as a slide type mobile phone, the sensing unit 140 may sense whether the slide type phone is opened or closed. In addition, the sensing unit 140 can detect whether the power supply unit 190 supplies power or whether the interface unit 170 is coupled with an external device.

The interface unit 170 serves as an interface through which at least one external device can be connected with the mobile terminal 100 . For example, an external device may include a wired or wireless headset port, an external power (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device with an identification module, audio input/output (I/O) ports, video I/O ports, headphone ports, and more. The identification module may store various information for authenticating a user using the mobile terminal 100 and may include a User Identity Module (UIM), a Subscriber Identity Module (SIM), a Universal Subscriber Identity Module (USIM) and the like. In addition, a device having an identification module (hereinafter referred to as "identification device") may take the form of a smart card, and thus, the identification device may be connected to the mobile terminal 100 via a port or other connection means. The interface unit 170 may be used to receive input (eg, data information, power, etc.) transfer data between.

In addition, when the mobile terminal 100 is connected with an external cradle, the interface unit 170 may serve as a path through which power is supplied from the cradle to the mobile terminal 100 or may be used as a path allowing various command signals input from the cradle to be transmitted to the mobile terminal 100 therethrough. The path to the terminal. Various command signals or power input from the base may be used as a signal for identifying whether the mobile terminal is accurately mounted on the base. The output unit 150 is configured to provide output signals (eg, audio signals, video signals, alarm signals, vibration signals, etc.) in a visual, audio and/or tactile manner. The output unit 150 may include a display unit 151 .

The display unit 151 can display information processed in the mobile terminal 100 . For example, when the mobile terminal 100 is in a phone call mode, the display unit 151 may display a user interface (UI) or a graphical user interface (GUI) related to calls or other communications (eg, text messaging, multimedia file downloading, etc.). When the mobile terminal 100 is in a video call mode or an image capture mode, the display unit 151 may display captured images and/or received images, a UI or GUI showing videos or images and related functions, and the like.

Meanwhile, when the display unit 151 and the touch pad are superimposed on each other in a layer to form a touch screen, the display unit 151 may serve as an input device and an output device. The display unit 151 may include at least one of a liquid crystal display (LCD), a thin film transistor LCD (TFT-LCD), an organic light emitting diode (OLED) display, a flexible display, a three-dimensional (3D) display, and the like. Some of these displays can be configured to be transparent to allow a user to view from the outside, which can be called a transparent display, and a typical transparent display can be, for example, a TOLED (Transparent Organic Light Emitting Diode) display or the like. Depending on the particular desired implementation, the mobile terminal 100 may include two or more display units (or other display means), for example, the mobile terminal may include an external display unit (not shown) and an internal display unit (not shown). . The touch screen can be used to detect touch input pressure as well as touch input position and touch input area.

The memory 160 may store software programs and the like for processing and controlling operations executed by the controller 180, or may temporarily store data that has been output or will be output (eg, phonebook, messages, still images, videos, etc.). Also, the memory 160 may store data on various patterns of vibration and audio signals output when a touch is applied to the touch screen.

Memory 160 may include at least one type of storage medium including flash memory, hard disk, multimedia card, card-type memory (eg, SD or DX memory, etc.), random access memory (RAM), static random access memory ( SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, optical disk, etc. Also, the mobile terminal 100 may cooperate with a web storage device performing a storage function of the memory 160 through a network connection.

The controller 180 generally controls the overall operations of the mobile terminal. For example, the controller 180 performs control and processing related to voice calls, data communications, video calls, and the like. In addition, the controller 180 may include a multimedia module 181 for reproducing (or playing back) multimedia data, and the multimedia module 181 may be constructed within the controller 180 or may be constructed separately from the controller 180 . The controller 180 may perform a pattern recognition process to recognize a handwriting input or a picture drawing input performed on the touch screen as a character or an image.

The power supply unit 190 receives external power or internal power and supplies appropriate power required to operate various elements and components under the control of the controller 180 .

Various implementations described herein can be implemented on a computer readable medium using, for example, computer software, hardware, or any combination thereof. For hardware implementation, the embodiments described herein can be implemented by using Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays ( FPGA), processors, controllers, microcontrollers, microprocessors, electronic units designed to perform the functions described herein, in some cases, such implementations may be implemented in the controller 180 implemented in. For software implementation, an embodiment such as a procedure or a function may be implemented with a separate software module that allows at least one function or operation to be performed. The software codes may be implemented by a software application (or program) written in any suitable programming language, which may be stored in memory 160 and executed by controller 180 .

So far, the mobile terminal has been described in terms of its functions. Hereinafter, for the sake of brevity, a slide-type mobile terminal among various types of mobile terminals such as folder-type, bar-type, swing-type, slide-type mobile terminals, etc. will be described as an example. Therefore, the present invention can be applied to any type of mobile terminal and is not limited to a slide type mobile terminal.

Referring to FIG. 2 , FIG. 2 is a block diagram of the electrical structure of the camera in FIG. 1 .

The photographing lens 1211 is composed of a plurality of optical lenses for forming a subject image, and is a single focus lens or a zoom lens. The photographic lens 1211 can move in the optical axis direction under the control of the lens driver 1221. The lens driver 1221 controls the focus position of the photographic lens 1211 according to the control signal from the lens drive control circuit 1222. In the case of a zoom lens, it can also control focus distance. The lens drive control circuit 1222 performs drive control of the lens driver 1221 in accordance with control commands from the microcomputer 1217 .

An imaging element 1212 is arranged on the optical axis of the taking lens 1211 near the position of the subject image formed by the taking lens 1211 . The imaging element 1212 is used to capture a subject image and obtain captured image data. On the imaging element 1212, photodiodes constituting each pixel are arranged two-dimensionally in a matrix. Each photodiode generates a photoelectric conversion current corresponding to the amount of received light, and the photoelectric conversion current is charged by a capacitor connected to each photodiode. RGB color filters in a Bayer arrangement are arranged on the front surface of each pixel.

The imaging element 1212 is connected to an imaging circuit 1213. The imaging circuit 1213 performs charge accumulation control and image signal readout control in the imaging element 1212, and performs waveform shaping on the readout image signal (analog image signal) after reducing reset noise. Furthermore, a gain increase etc. are performed so that an appropriate signal level may be obtained. The imaging circuit 1213 is connected to an A/D converter 1214 that performs analog-to-digital conversion of an analog image signal and outputs a digital image signal (hereinafter referred to as image data) to a bus 1227 .

The bus 1227 is a transmission path for transmitting various data read or generated inside the camera. The above-mentioned A/D converter 1214 is connected to the bus 1227, and an image processor 1215, a JPEG processor 1216, a microcomputer 1217, SDRAM (Synchronous Dynamic Random Access Memory, Synchronous Dynamic Random Access Memory) 1218, a memory interface (hereinafter referred to as These are memory I/F) 1219 and LCD (Liquid Crystal Display, liquid crystal display) driver 1220 .

The image processor 1215 performs various image processing such as OB subtraction processing, white balance adjustment, color matrix calculation, gamma conversion, color difference signal processing, noise removal processing, synchronization processing, and edge processing on the image data based on the output of the imaging element 1212. deal with. The JPEG processor 1216 compresses the image data read from the SDRAM 1218 according to the JPEG compression method when recording the image data on the recording medium 1225 . Also, the JPEG processor 1216 decompresses JPEG image data for image reproduction and display. When performing decompression, the file recorded on the storage medium 1225 is read out, and after decompression processing is performed in the JPEG processor 1216 , the decompressed image data is temporarily stored in the SDRAM 1218 and displayed on the LCD 1226 . In addition, in this embodiment, the JPEG method is adopted as the image compression/decompression method, but the compression/decompression method is not limited to this, and of course other compression/decompression methods such as MPEG, TIFF, H.264, etc. can be used.

The microcomputer 1217 functions as a control unit for the entire camera, and collectively controls various processing sequences of the camera. The microcomputer 1217 is connected to an operation unit 1223 and a flash memory 1224 .

The operation unit 1223 includes but is not limited to physical keys or virtual keys, the physical or virtual keys can be a power button, a camera key, an edit key, a dynamic image button, a playback button, a menu button, a cross key, an OK button, a delete button, and an enlargement button Various input buttons and various input keys and other operation controls are used to detect the operation status of these operation controls.

The detection result is output to the microcomputer 1217 . Also, a touch panel is provided on the front surface of LCD 1226 as a display, detects a user's touch position, and outputs the touch position to microcomputer 1217 . The microcomputer 1217 executes various processing sequences corresponding to the user's operation based on the detection result of the operation position from the operation unit 1223 .

The flash memory 1224 stores programs for executing various processing sequences of the microcomputer 1217 . The microcomputer 1217 controls the entire camera according to the program. In addition, the flash memory 1224 stores various adjustment values of the camera, and the microcomputer 1217 reads out the adjustment values, and controls the camera according to the adjustment values.

The SDRAM 1218 is an electrically rewritable volatile memory for temporarily storing image data and the like. The SDRAM 1218 temporarily stores image data output from the A/D converter 1214 and image data processed by the image processor 1215, the JPEG processor 1216, and the like.

The memory interface 1219 is connected to a recording medium 1225 , and performs control of writing image data and data such as a file header attached to the image data to and from the recording medium 1225 . The recording medium 1225 is, for example, a recording medium such as a memory card detachable from the camera body, but is not limited thereto, and may be a hard disk built in the camera body or the like.

LCD driver 1210 is connected to LCD 1226, stores the image data processed by image processor 1215 in SDRAM 1218, reads the image data stored in SDRAM 1218 and displays them on LCD 1226 when it needs to be displayed, or stores the image data compressed by JPEG processor 1216 In SDRAM 1218 , when display is required, JPEG processor 1216 reads the compressed image data in SDRAM 1218 , decompresses it, and displays the decompressed image data through LCD 1226 .

LCD1226 is arranged on the back of the camera body for image display. The LCD1226LCD) is not limited thereto, and various display panels such as organic EL (LCD1226) may be used, but not limited thereto, and various display panels such as organic EL may be used.

Based on the above-mentioned schematic diagram of the hardware structure of the mobile terminal and the electrical structure of the camera, various embodiments of the method of the present invention are proposed.

The invention provides an image denoising device.

Referring to FIG. 3 , FIG. 3 is a schematic diagram of functional modules of a first embodiment of an image denoising device according to the present invention.

In this embodiment, the image denoising device includes:

The first acquisition module 10 is configured to acquire continuous multi-frame images taken by the terminal, and use one of the multi-frame images as a sample image, and the rest as images to be compared, wherein the format of the multi-frame images For RGB image format;

When the terminal is shooting with a built-in or external camera, the terminal acquires continuous multiple frames of images during the shooting process, and uses one of the multiple frames of images as a sample image, and uses the The image outside is used as the image to be compared, and the sample image and the image to be compared are in RGB image format. The terminals include but are not limited to smart phones and personal computers. In this embodiment, the terminal is a smart phone. For example, when the smart phone captures images with its built-in camera, it acquires four consecutive frames of images, uses the first frame of images acquired as a sample image, and uses the acquired first frame of images as a sample image. The second, third and fourth frames of images are used as images to be compared.

The second acquiring module 20 is configured to respectively acquire brightness values of R, G and B components of each pixel point of the sample image, and brightness values of R, G and B components of each pixel point of the image to be compared;

When the terminal acquires the sample image and the image to be compared, analyze the sample image and the image to be compared, and obtain the brightness value of the R component and the brightness of the G component of each pixel in the sample image value and the brightness value of the B component, and obtain the brightness value of the R component, the brightness value of the G component, and the brightness value of the B component of each pixel in the image to be compared. For example, when the smart phone acquires one frame of the sample image and three frames of the image to be compared, analyze the sample image to obtain the brightness value of the R component and the brightness of the G component of each pixel in the sample image value and the brightness value of the B component; and respectively analyze the three frames of the image to be compared to obtain the brightness value of the R component, the brightness value of the G component and the brightness value of the B component of each pixel in the image to be compared in the first frame Obtain the luminance value of the R component, the luminance value of the G component and the luminance value of the B component of each pixel in the image to be compared in the second frame; obtain the R component of each pixel in the image to be compared in the third frame A brightness value, a brightness value of the G component, and a brightness value of the B component.

The processing module 30 is configured to if the difference between the luminance values of the R, G and B components of each pixel of the sample image and the luminance values of the R, G and B components corresponding to each pixel of the image to be compared is within Within the first preset range, denoising is obtained according to the average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component between the image to be compared and each pixel point of the sample image after the image.

Further, the processing module 30 includes:

The determination unit is configured to determine if the difference between the luminance values of the R, G and B components of each pixel of the sample image and the luminance values of the R, G and B components corresponding to each pixel of the image to be compared Within a preset range, determine the brightness values of the R, G, and B components of the respective pixels of the image to be compared corresponding to the difference within the first preset range;

The second calculation unit is used to respectively calculate the average value of the R component brightness value, the average value of the G component brightness value and the average value of the G component brightness value between the image to be compared and each pixel point of the sample image within the first preset range. The average value of the brightness value of the B component;

The second processing unit is configured to recombine the average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component into new pixels, so as to obtain a denoised image.

When the terminal obtains the brightness value of the R component, the brightness value of the G component, and the brightness value of the B component of each pixel point of the sample image and the image to be compared, the R component of each pixel point of the sample image The brightness value is compared with the brightness value of the R component of each pixel point of the image to be compared, and the brightness value of the R component of each pixel point of the sample image is corresponding to the brightness value of the R component of each pixel point of the image to be compared The difference between the values; compare the brightness value of the G component of each pixel of the sample image with the brightness value of the G component of each pixel of the image to be compared to obtain the G of each pixel of the sample image The brightness value of the component corresponds to the difference between the brightness value of the G component of each pixel point of the image to be compared; the brightness value of the B component of each pixel point of the sample image corresponds to each pixel point of the image to be compared Comparing the brightness values of the B components of each pixel of the sample image to obtain the difference between the brightness values of the B components corresponding to each pixel of the sample image and the brightness values of the B components of each pixel of the image to be compared. The terminal judges whether the difference between the R component brightness value, the G component brightness value difference, and the B component brightness value difference between each pixel point of the sample image and each pixel point of the image to be compared is within the first within the preset range. When the terminal determines that the difference between the R component brightness value, the G component brightness value difference and the B component brightness value difference between each pixel point of the sample image and each pixel point of the image to be compared is within the When within the first preset range, determine the brightness value of the R component of the image to be compared corresponding to the difference in the R component brightness value within the first preset range, and record it as the brightness value of the R0 component; The brightness value of the G component of the image to be compared corresponding to the difference of the G component brightness value within the first preset range is recorded as the brightness value of the G0 component; determine the B component within the first preset range The brightness value of the B component of the image to be compared corresponding to the brightness value difference is recorded as the brightness value of the B0 component. The terminal calculates the average value of the brightness value of the R component of the sample image and the brightness value of the R0 component to obtain the average value of the brightness value of the R component; calculates the brightness value of the G component of the sample image and the average value of the G0 component The average value of the luminance value is to obtain the average value of the luminance value of the G component; the average value of the luminance value of the B component of the sample image and the luminance value of the B0 component is calculated to obtain the average value of the luminance value of the B component. The terminal uses the average value of the R component luminance values of each pixel as the R component image of the image after denoising, the average value of the G component luminance value as the G component image of the denoised image, and the average value of the B component luminance values as The B component image of the denoised image, the terminal recombines the R component image, G component image and B component image of the denoised image into a new image, and the recombined new image is the denoised image after the image. The terminal may also recombine the average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component into new pixels, and use the new pixels as a new image pixels to obtain the new image, which is the denoised image. Further, the terminal displays the denoised image output on its screen. Wherein, the first preset range is determined according to the magnitude of the environmental noise in the current shooting, for example, it can be set to -10 to 10, or set to -20 to 20.

For example, the smart phone obtains the luminance value of the R component, the luminance value of the G component, and the luminance value of the B component of a certain pixel point of the sample image, and obtains the luminance value of the R component of the corresponding pixel point in the three frames of the image to be compared. When the brightness value, the brightness value of the G component, and the brightness value of the B component, the smart phone passes the brightness value of the R component of the sample image pixel and the R component of the corresponding pixel in the image to be compared in the first frame Brightness value, the difference between the brightness value of the R component of the pixel point of the sample image and the brightness value of the R component of the corresponding pixel point in the image to be compared in the first frame is obtained, denoted as R1; through the sample image The brightness value of the R component of the pixel point and the brightness value of the R component of the corresponding pixel point in the image to be compared in the second frame are obtained, and the brightness value of the R component of the pixel point in the sample image and the image to be compared in the second frame are obtained. The difference between the luminance value of the R component of the corresponding pixel in the corresponding pixel, denoted as R2; through the luminance value of the R component of the sample image pixel and the R component of the corresponding pixel in the image to be compared in the third frame The brightness value is obtained by obtaining the difference between the brightness value of the R component of the sample image pixel and the brightness value of the R component of the corresponding pixel in the image to be compared in the third frame, which is denoted as R3. The smart phone determines that the R1, R2, and R3 are in the range of -10 to 10 (in this embodiment, the first preset range is -10 to 10), that is, the R1, R2 Whether and R3 is greater than or equal to -10 and less than or equal to 10. If the smart phone determines that the R1, R2, and R3 are all greater than or equal to -10 and less than or equal to 10, then calculate the brightness value of the R component of the pixel point of the sample image, and the corresponding pixel in the first frame of the image to be compared between the brightness value of the R component of the point, the brightness value of the R component of the corresponding pixel in the second frame of the image to be compared, and the brightness value of the R component of the corresponding pixel in the third frame of the image to be compared The average value of the brightness values of the four R components is used as the brightness value of the R component of the new pixel at the corresponding position of the image after denoising. If the smart phone determines that the R1 and R3 are greater than or equal to -10 and less than or equal to 10, then calculate the brightness value of the R component of the pixel point of the sample image, and the R value of the corresponding pixel point in the first frame of the image to be compared. The brightness value of the component and the brightness value of the R component of the corresponding pixel in the third frame image to be compared are the average value between the brightness values of the three R components, and the average value between the brightness values of the three R components is taken as The luminance value of the R component of the corresponding new pixel in the denoised image. If the smart phone determines that the R1 is greater than or equal to -10 and less than or equal to 10, then calculate the brightness value of the R component of the corresponding pixel in the sample image and the R component of the corresponding pixel in the first frame of the image to be compared The brightness value is the average value between the brightness values of the two R components, and the average value between the brightness values of the two R components is used as the brightness value of the R component of the new pixel at the corresponding position of the image after denoising. (When the R1 and R3 or R2 and R3 or R2 or R3 meet the first preset range, the processing process is as above, and will not be repeated here). The processing process of the smart phone on the luminance value of the G component and the luminance value of the B component is similar to the processing process of the luminance value of the R component, and will not be repeated here. When the smart phone obtains the average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component between the sample image and each pixel point of the image to be compared, the smart phone The average value of the R component luminance value of each pixel is used as the R component image of the image after denoising, the average value of the G component luminance value is used as the G component image of the denoised image, and the average value of the B component luminance value is used as the denoised image. The B component image of the image, the smart phone recombines the R component image, G component image and B component image of the denoised image into a new image, and the recombined new image is the denoised image. Specifically, referring to Figures 7 and 8, Figure 7 is a schematic diagram of an image captured by a terminal in an embodiment of the present invention without denoising processing; A schematic representation of the resulting image. Comparing the above-mentioned FIG. 7 with the above-mentioned FIG. 8, it can be seen that after the image is denoised, the definition is obviously improved.

In this embodiment, the brightness values of the R, G, and B components of the sample image in the terminal are obtained respectively, and the brightness values of the R, G, and B components of each pixel of the image to be compared are obtained when the R, G, and B components of the sample image If the corresponding differences between the brightness values of the components and the brightness values of the R, G, and B components of each pixel of the image to be compared are within a first preset range, then according to each of the image to be compared and the sample image The average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component among the pixels are used to obtain a denoised image. By denoising the luminance values of the R, G and B components of the image respectively, and then recombining the luminance values of the denoised R, G and B components into new pixels, and using the new pixels as The pixel of the denoised image is used to obtain the denoised image, which avoids the problem of large amount of calculation in the process of image denoising, poor denoising effect, and easy loss of image edge details.

Referring to FIG. 4 , FIG. 4 is a schematic diagram of the functional modules of the second embodiment of the image denoising device of the present invention, and the second embodiment of the image denoising device of the present invention is proposed based on the first embodiment.

In this embodiment, the image denoising device further includes:

Calculation module 40, used to respectively calculate the difference between the luminance values of the R, G and B components of each pixel point of the sample image and the luminance values of the R, G and B components corresponding to each pixel point of the image to be compared , using the difference as the first difference;

A judging module 50, configured to judge whether the first difference is not within a first preset range;

When the terminal obtains the brightness value of the R component of each pixel point of the sample image and the brightness value of the R component of each pixel point of the image to be compared, the terminal calculates the R component of the pixel point of the sample image The difference between the luminance value of , and the luminance value of the R component of the corresponding pixel in the image to be compared, and use the difference as the first difference of the R component luminance value. The process by which the terminal obtains the first difference between the brightness values of the G component and the first difference between the brightness values of the B component is similar to the process of obtaining the first difference between the brightness values of the R component, and will not be repeated here. When the terminal obtains the first difference of the brightness values of the R components, it is determined whether the first differences of the brightness values of the R components are all within a first preset range. When the terminal obtains the brightness value of the G component and the brightness value of the B component of each pixel point of the sample image and the brightness value of the G component and the brightness value of the B component of each pixel point of the image to be compared, the The terminal processes the difference between the brightness value of the G component and the brightness value of the B component of the pixel point of the sample image and the brightness value of the G component and the brightness value of the B component of the corresponding pixel point in the image to be compared, It is similar to the difference between the luminance value of the R component of the pixel of the sample image and the luminance value of the R component of the corresponding pixel in the image to be compared by the terminal, and will not be repeated here. For example, when the smart phone calculates the difference between the brightness value of the R component of the sample image pixel and the brightness value of the R component of the corresponding pixel in the three frames of the image to be compared, the sample image pixel is obtained The difference R1 between the luminance value of the R component of the image to be compared and the luminance value of the R component of the corresponding pixel in the image to be compared in the first frame; obtain the luminance value of the R component of the sample image pixel and the second The difference R2 between the brightness values of the R components of the corresponding pixels in the image to be compared in the frame; the brightness value of the R component of the pixels in the sample image and the R component of the corresponding pixels in the third frame of the image to be compared are obtained The difference between the luminance values R3. The smart phone judges whether the R1, R2 and R3 are all greater than or equal to -10 and less than or equal to 10. The difference between the brightness value of the G component and the brightness value of the B component of the pixel point of the sample image by the smart phone and the brightness value of the G component and the brightness value of the B component of the corresponding pixel point in the three frames of the image to be compared The value processing process is similar to the difference between the brightness value of the R component of the pixel in the sample image and the brightness value of the R component of the corresponding pixel in the three frames of the image to be compared, and will not be repeated here.

A selection module 60, configured to select a preset number of pixels within a preset range of each pixel of the sample image if none of the first difference values is within the first preset range;

The second acquiring module 20 is further configured to acquire brightness values of R, G and B components of the preset number of pixels;

When the terminal determines that the first difference between the brightness values of the R components is not within the first preset range, that is, the brightness value of the R component of the sample image and the brightness of the R component of the image to be compared When the difference between the values is not within the first preset range, the terminal selects a preset number of pixels within the preset range of each pixel of the sample image, and obtains the preset The brightness value of the R component of the number of pixels. The preset number is set based on the amount of noise in the shooting scene at that time, for example, it can be set to center on the pixel currently selected by the terminal, and select pixels in areas such as 3*3 or 5*5. When the terminal determines that the first difference of the G component luminance value and/or the first difference of the B component luminance value is not within the first preset range, the processing procedure and determination of the terminal None of the first difference values of the R-component luminance values are similar within the first preset range, which will not be repeated here. Specifically, referring to FIG. 9 , FIG. 9 is a schematic diagram of a terminal selecting a preset number of pixels within a preset range of a certain pixel of a sample image in an embodiment of the present invention. In the Figure 9, when the smart phone determines that none of the R1, R2 and R3 is within the range of -10 to 10, the smart phone is within the range of 3*3 pixels of the sample image Select 8 pixels, if the smart phone is processing the luminance value of the R component at the position P22 pixel in the sample image, then select P11, P12, P12, P21 within the range of 3*3 of the P22 pixel , P23, P31, P32 and P33 these 8 pixels. The smart phone respectively acquires the luminance values of the R components of the eight pixels of P11, P12, P12, P21, P23, P31, P32 and P33. When the smart phone determines that the first difference between the G component luminance values and/or the first difference between the B component luminance values is not within the range of -10 to 10, the processing procedure of the terminal and It is determined that none of R1, R2, and R3 is within the range of -10 to 10, so details will not be repeated here.

The calculation module 40 is also used to calculate the difference between the luminance values of the R, G and B components of the preset number of pixels and the luminance values of the R, G and B components of the sample image pixels. difference, as the second difference;

When the terminal acquires the brightness values of the R components of the preset number of pixels, calculate the brightness value of the R components of the preset number of pixels and the ratio of the R components of the sample image pixels The difference between the brightness values, the difference is used as the second difference of the brightness value of the R component; when the terminal obtains the brightness value of the G component of the preset number of pixels, calculate the The difference between the luminance value of the G component of the preset number of pixels and the luminance value of the G component of the sample image pixel, using the difference as the second difference of the G component luminance value; when the When the terminal acquires the brightness values of the B components of the preset number of pixels, calculate the brightness values of the B components of the preset number of pixels and the brightness values of the B components of the sample image pixels The difference between them is used as the second difference of the brightness value of the B component. For example, when the smart phone obtains the brightness values of the R components of the eight pixels P11, P12, P12, P21, P23, P31, P32 and P33, calculate the R component of the P22 pixel in the sample image The difference between the luminance value and the luminance value of the R component of the eight pixels of P11, P12, P12, P21, P23, P31, P32 and P33. Specifically, referring to FIG. 10 , the FIG. 10 is a schematic diagram of a certain pixel of a sample image and brightness values of R components of a preset number of pixels in an embodiment of the present invention. 10, it can be seen that the brightness value of the R component of the P22 pixel point is 5, the brightness value of the R component of the P11 pixel point is 1, and the brightness value of the R component of the P12 pixel point is 2, so The brightness value of the R component of the P13 pixel point is 3, the brightness value of the R component of the P21 pixel point is 4, the brightness value of the R component of the P23 pixel point is 6, and the R component value of the P31 pixel point is The brightness value is 9, the brightness value of the R component of the P32 pixel point is 8, and the brightness value of the R component of the P33 pixel point is 7. The smart phone calculates the difference between the brightness value of the R component of the P22 pixel point in the sample image and the brightness value of the R component of the eight pixel points P11, P12, P12, P21, P23, P31, P32, and P33. The differences between them are 4, 3, 2, 1, -1, -4, -3, and -2, respectively.

The processing module 30 is further configured to: if the second difference is within a second preset range, according to the preset number of pixels corresponding to the second preset range and the The average value of R component luminance value, the average value of G component luminance value and the average value of B component luminance value among each pixel of the sample image obtains the image after denoising.

Further, the processing module 30 also includes:

An acquiring unit, configured to acquire the preset number of pixels corresponding to the second difference within the second preset range if the second difference is within the second preset range Luminance values of the R, G and B components of ;

The first calculation unit is used to separately calculate the average value of R component luminance values, the average value of G component luminance values and the B component luminance between the obtained preset number of pixels and each pixel point of the sample image the average of the values;

The first processing unit is configured to recombine the average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component into new pixels, so as to obtain a denoised image.

When the terminal obtains the second difference value of the R component luminance value and determines that the second difference value of the R component luminance value is within a second preset range, acquire the The brightness values of the R components of the preset number of pixels corresponding to the second difference value of the brightness values of the R components in the interior are calculated, and the sum of the acquired brightness values of the R components of the preset number of pixels is calculated. The average value of the R component luminance values of each pixel in the sample image is used as the new R component luminance value of the pixel. When the terminal determines that the second difference of the luminance value of the G component and/or the second difference of the luminance value of the B component is within the second preset range, the processing procedure of the terminal is the same as that of determining the The process of the second difference of R component luminance values being within the second preset range is similar, and will not be repeated here. Wherein, the second preset range may be consistent with the first preset range, or may be inconsistent with the first preset range. When the terminal obtains the luminance value of the R component, the luminance value of the G component, and the luminance value of the B component of the new pixel, the luminance value of the R component, the luminance value of the G component, and the B The brightness values of the components are recombined into new pixels, and the new pixels are used as pixels of a new image to obtain the new image, and the new image is a denoised image. For example, when the second preset range is -2 to 2, the smart phone determines the brightness value of the R component of the P22 pixel point and the brightness value of the R component of the P13, P21, P23, and P33 pixel points If the difference between them is in the range of -2 to 2, the brightness values of the R components of the P13, P21, P23 and P33 pixels are correspondingly obtained as 3, 4, 6 and 7. The smart phone calculates the average value of the luminance value 5 of the R component of the P22 pixel point and the luminance value of the R component of the P13, P21, P23, and P33 pixel points 3, 4, 6, and 7, and the obtained average If the value is 5, then 5 is used as the brightness value of the R component of the pixel at the P22 position of the denoised image. When the smart phone obtains the brightness value of the G component and the brightness value of the B component of the pixel at the P22 position of the denoising image, the brightness value of the R component, the brightness value of the G component and the brightness value of the B component of the pixel at the P22 position The brightness value is recombined into the P22 pixel of the denoised image. In this way, the smart phone obtains a complete image after denoising.

Furthermore, the judging module 50 is also used to judge whether the second difference is within a second preset range;

The image denoising device further includes a discarding module, configured to discard the second difference that is not within the second preset range if the second difference is not within the second preset range The corresponding preset number of pixels.

When the terminal obtains the second difference of the brightness value of the R component, it is determined whether the second difference of the brightness value of the R component is within the second preset range. If the second difference value of the R component luminance value is not within the second preset range, the terminal discards the second difference value of the R component luminance value not within the second preset range Brightness values of the R components of the corresponding preset number of pixels. If the smart phone determines that the difference between the luminance value of the R component of the P22 pixel point and the luminance value of the R component of the P11, P12, P31, and P32 pixel points is not within the range of -2 to 2, Then the brightness values of the R components of the P11, P12, P31 and P32 pixels are discarded, and the brightness values of the R components of the P11, P12, P31 and P32 pixels are not calculated. When the terminal determines that the second difference of the luminance value of the G component and/or the second difference of the luminance value of the B component is not within the second preset range, the processing procedure of the terminal is the same as that of the The process in which the second difference of the luminance value of the R component is not within the second preset range is similar and will not be repeated here.

In this embodiment, when the brightness values of the R, G, and B components of each pixel in the sample image correspond to the brightness values of the R, G, and B components of each pixel in the image to be compared, the difference between the brightness values is not within When within the first preset range, select a preset number of pixels within the preset range of each pixel of the sample image to obtain a denoised image, avoiding a large amount of calculation in the image denoising process , the denoising effect is poor, and it is easy to cause the loss of image edge details.

The present invention further provides an image denoising method.

Referring to FIG. 5 , FIG. 5 is a schematic flowchart of a first embodiment of an image denoising method according to the present invention.

In this embodiment, the image denoising method includes:

Step S10, acquiring continuous multi-frame images captured by the terminal, using one of the multi-frame images as a sample image, and the rest as images to be compared, wherein the format of the multi-frame images is an RGB image format;

When the terminal is shooting with a built-in or external camera, the terminal acquires continuous multiple frames of images during the shooting process, and uses one of the multiple frames of images as a sample image, and uses the The image outside is used as the image to be compared, and the sample image and the image to be compared are in RGB image format. The terminals include but are not limited to smart phones and personal computers. In this embodiment, the terminal is a smart phone. For example, when the smart phone captures images with its built-in camera, it acquires four consecutive frames of images, uses the first frame of images acquired as a sample image, and uses the acquired first frame of images as a sample image. The second, third and fourth frames of images are used as images to be compared.

Step S20, respectively acquiring the brightness values of the R, G and B components of each pixel of the sample image, and the brightness values of the R, G and B components of each pixel of the image to be compared;

When the terminal acquires the sample image and the image to be compared, analyze the sample image and the image to be compared, and obtain the brightness value of the R component and the brightness of the G component of each pixel in the sample image value and the brightness value of the B component, and obtain the brightness value of the R component, the brightness value of the G component, and the brightness value of the B component of each pixel in the image to be compared. For example, when the smart phone acquires one frame of the sample image and three frames of the image to be compared, analyze the sample image to obtain the brightness value of the R component and the brightness of the G component of each pixel in the sample image value and the brightness value of the B component; and respectively analyze the three frames of the image to be compared to obtain the brightness value of the R component, the brightness value of the G component and the brightness value of the B component of each pixel in the image to be compared in the first frame Obtain the luminance value of the R component, the luminance value of the G component and the luminance value of the B component of each pixel in the image to be compared in the second frame; obtain the R component of each pixel in the image to be compared in the third frame A brightness value, a brightness value of the G component, and a brightness value of the B component.

Step S30, if the difference between the luminance values of the R, G and B components of each pixel of the sample image and the luminance values of the R, G and B components corresponding to each pixel of the image to be compared is within the first preset If it is within the range, the image after denoising is obtained according to the average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component between the image to be compared and each pixel point of the sample image .

Further, the step S30 includes:

If the difference between the brightness values of the R, G and B components of each pixel of the sample image and the brightness values of the R, G and B components corresponding to each pixel of the image to be compared is within the first preset range , then determine the luminance values of the R, G and B components of the respective pixels of the image to be compared corresponding to the difference within the first preset range;

respectively calculating the average value of R component brightness values, the average value of G component brightness values and the average value of B component brightness values between the image to be compared and each pixel point of the sample image within the first preset range ;

The average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component are recombined into new pixels to obtain a denoised image.

When the terminal obtains the brightness value of the R component, the brightness value of the G component, and the brightness value of the B component of each pixel point of the sample image and the image to be compared, the R component of each pixel point of the sample image The brightness value is compared with the brightness value of the R component of each pixel point of the image to be compared, and the brightness value of the R component of each pixel point of the sample image is corresponding to the brightness value of the R component of each pixel point of the image to be compared The difference between the values; compare the brightness value of the G component of each pixel of the sample image with the brightness value of the G component of each pixel of the image to be compared to obtain the G of each pixel of the sample image The brightness value of the component corresponds to the difference between the brightness value of the G component of each pixel point of the image to be compared; the brightness value of the B component of each pixel point of the sample image corresponds to each pixel point of the image to be compared Comparing the brightness values of the B components of each pixel of the sample image to obtain the difference between the brightness values of the B components corresponding to each pixel of the sample image and the brightness values of the B components of each pixel of the image to be compared. The terminal judges whether the difference between the R component brightness value, the G component brightness value difference, and the B component brightness value difference between each pixel point of the sample image and each pixel point of the image to be compared is within the first within the preset range. When the terminal determines that the difference between the R component brightness value, the G component brightness value difference and the B component brightness value difference between each pixel point of the sample image and each pixel point of the image to be compared is within the When within the first preset range, determine the brightness value of the R component of the image to be compared corresponding to the difference in the R component brightness value within the first preset range, and record it as the brightness value of the R0 component; The brightness value of the G component of the image to be compared corresponding to the difference of the G component brightness value within the first preset range is recorded as the brightness value of the G0 component; determine the B component within the first preset range The brightness value of the B component of the image to be compared corresponding to the brightness value difference is recorded as the brightness value of the B0 component. The terminal calculates the average value of the brightness value of the R component of the sample image and the brightness value of the R0 component to obtain the average value of the brightness value of the R component; calculates the brightness value of the G component of the sample image and the average value of the G0 component The average value of the luminance value is to obtain the average value of the luminance value of the G component; the average value of the luminance value of the B component of the sample image and the luminance value of the B0 component is calculated to obtain the average value of the luminance value of the B component. The terminal uses the average value of the R component luminance values of each pixel as the R component image of the image after denoising, the average value of the G component luminance value as the G component image of the denoised image, and the average value of the B component luminance values as The B component image of the denoised image, the terminal recombines the R component image, G component image and B component image of the denoised image into a new image, and the recombined new image is the denoised image after the image. The terminal may also recombine the average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component into new pixels, and use the new pixels as a new image pixels to obtain the new image, which is the denoised image. Further, the terminal displays the denoised image output on its screen. Wherein, the first preset range is determined according to the magnitude of the environmental noise in the current shooting, for example, it can be set to -10 to 10, or set to -20 to 20.

For example, the smart phone obtains the luminance value of the R component, the luminance value of the G component, and the luminance value of the B component of a certain pixel point of the sample image, and obtains the luminance value of the R component of the corresponding pixel point in the three frames of the image to be compared. When the brightness value, the brightness value of the G component, and the brightness value of the B component, the smart phone passes the brightness value of the R component of the sample image pixel and the R component of the corresponding pixel in the image to be compared in the first frame Brightness value, the difference between the brightness value of the R component of the pixel point of the sample image and the brightness value of the R component of the corresponding pixel point in the image to be compared in the first frame is obtained, denoted as R1; through the sample image The brightness value of the R component of the pixel point and the brightness value of the R component of the corresponding pixel point in the image to be compared in the second frame are obtained, and the brightness value of the R component of the pixel point in the sample image and the image to be compared in the second frame are obtained. The difference between the luminance value of the R component of the corresponding pixel in the corresponding pixel, denoted as R2; through the luminance value of the R component of the sample image pixel and the R component of the corresponding pixel in the image to be compared in the third frame The brightness value is obtained by obtaining the difference between the brightness value of the R component of the sample image pixel and the brightness value of the R component of the corresponding pixel in the image to be compared in the third frame, which is denoted as R3. The smart phone determines that the R1, R2, and R3 are in the range of -10 to 10 (in this embodiment, the first preset range is -10 to 10), that is, the R1, R2 Whether and R3 is greater than or equal to -10 and less than or equal to 10. If the smart phone determines that the R1, R2, and R3 are all greater than or equal to -10 and less than or equal to 10, then calculate the brightness value of the R component of the pixel point of the sample image, and the corresponding pixel in the first frame of the image to be compared between the brightness value of the R component of the point, the brightness value of the R component of the corresponding pixel in the second frame of the image to be compared, and the brightness value of the R component of the corresponding pixel in the third frame of the image to be compared The average value of the brightness values of the four R components is used as the brightness value of the R component of the new pixel at the corresponding position of the image after denoising. If the smart phone determines that the R1 and R3 are greater than or equal to -10 and less than or equal to 10, then calculate the brightness value of the R component of the pixel point of the sample image, and the R value of the corresponding pixel point in the first frame of the image to be compared. The brightness value of the component and the brightness value of the R component of the corresponding pixel in the third frame image to be compared are the average value between the brightness values of the three R components, and the average value between the brightness values of the three R components is taken as The luminance value of the R component of the corresponding new pixel in the denoised image. If the smart phone determines that the R1 is greater than or equal to -10 and less than or equal to 10, then calculate the brightness value of the R component of the corresponding pixel in the sample image and the R component of the corresponding pixel in the first frame of the image to be compared The brightness value is the average value between the brightness values of the two R components, and the average value between the brightness values of the two R components is used as the brightness value of the R component of the new pixel at the corresponding position of the image after denoising. (When the R1 and R3 or R2 and R3 or R2 or R3 meet the first preset range, the processing process is as above, and will not be repeated here). The processing process of the smart phone on the luminance value of the G component and the luminance value of the B component is similar to the processing process of the luminance value of the R component, and will not be repeated here. When the smart phone obtains the average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component between the sample image and each pixel point of the image to be compared, the smart phone The average value of the R component luminance value of each pixel is used as the R component image of the image after denoising, the average value of the G component luminance value is used as the G component image of the denoised image, and the average value of the B component luminance value is used as the denoised image. The B component image of the image, the smart phone recombines the R component image, G component image and B component image of the denoised image into a new image, and the recombined new image is the denoised image. Specifically, referring to Figures 7 and 8, Figure 7 is a schematic diagram of an image captured by a terminal in an embodiment of the present invention without denoising processing; A schematic representation of the resulting image. Comparing the above-mentioned FIG. 7 with the above-mentioned FIG. 8, it can be seen that after the image is denoised, the definition is obviously improved.

In this embodiment, the brightness values of the R, G, and B components of the sample image in the terminal are obtained respectively, and the brightness values of the R, G, and B components of each pixel of the image to be compared are obtained when the R, G, and B components of the sample image If the corresponding differences between the brightness values of the components and the brightness values of the R, G, and B components of each pixel of the image to be compared are within a first preset range, then according to each of the image to be compared and the sample image The average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component among the pixels are used to obtain a denoised image. By denoising the luminance values of the R, G and B components of the image respectively, and then recombining the luminance values of the denoised R, G and B components into new pixels, and using the new pixels as The pixel of the denoised image is used to obtain the denoised image, which avoids the problem of large amount of calculation in the process of image denoising, poor denoising effect, and easy loss of image edge details.

Referring to FIG. 6 , FIG. 6 is a schematic flowchart of the second embodiment of the image denoising method of the present invention, and proposes the second embodiment of the image denoising method of the present invention based on the first embodiment of the present invention.

In this embodiment, the image denoising method further includes:

Step S40, respectively calculating the difference between the luminance values of the R, G and B components of each pixel of the sample image and the luminance values of the R, G and B components corresponding to each pixel of the image to be compared, and dividing the said difference as the first difference;

Step S50, judging whether the first difference is not within the first preset range;

When the terminal obtains the brightness value of the R component of each pixel point of the sample image and the brightness value of the R component of each pixel point of the image to be compared, the terminal calculates the R component of the pixel point of the sample image The difference between the luminance value of , and the luminance value of the R component of the corresponding pixel in the image to be compared, and use the difference as the first difference of the R component luminance value. The process by which the terminal obtains the first difference between the brightness values of the G component and the first difference between the brightness values of the B component is similar to the process of obtaining the first difference between the brightness values of the R component, and will not be repeated here. When the terminal obtains the first difference of the brightness values of the R components, it is determined whether the first differences of the brightness values of the R components are all within a first preset range. When the terminal obtains the brightness value of the G component and the brightness value of the B component of each pixel point of the sample image and the brightness value of the G component and the brightness value of the B component of each pixel point of the image to be compared, the The terminal processes the difference between the brightness value of the G component and the brightness value of the B component of the pixel point of the sample image and the brightness value of the G component and the brightness value of the B component of the corresponding pixel point in the image to be compared, It is similar to the difference between the luminance value of the R component of the pixel of the sample image and the luminance value of the R component of the corresponding pixel in the image to be compared by the terminal, and will not be repeated here. For example, when the smart phone calculates the difference between the brightness value of the R component of the sample image pixel and the brightness value of the R component of the corresponding pixel in the three frames of the image to be compared, the sample image pixel is obtained The difference R1 between the luminance value of the R component of the image to be compared and the luminance value of the R component of the corresponding pixel in the image to be compared in the first frame; obtain the luminance value of the R component of the sample image pixel and the second The difference R2 between the brightness values of the R components of the corresponding pixels in the image to be compared in the frame; the brightness value of the R component of the pixels in the sample image and the R component of the corresponding pixels in the third frame of the image to be compared are obtained The difference between the brightness values R3. The smart phone judges whether the R1, R2 and R3 are all greater than or equal to -10 and less than or equal to 10. The difference between the brightness value of the G component and the brightness value of the B component of the pixel point of the sample image by the smart phone and the brightness value of the G component and the brightness value of the B component of the corresponding pixel point in the three frames of the image to be compared The value processing process is similar to the difference between the brightness value of the R component of the pixel in the sample image and the brightness value of the R component of the corresponding pixel in the three frames of the image to be compared, and will not be repeated here.

Step S60, if none of the first difference values is within the first preset range, select a preset number of pixels within the preset range of each pixel of the sample image;

Step S70, acquiring brightness values of R, G and B components of the preset number of pixels;

When the terminal determines that the first difference between the brightness values of the R components is not within the first preset range, that is, the brightness value of the R component of the sample image and the brightness of the R component of the image to be compared When the difference between the values is not within the first preset range, the terminal selects a preset number of pixels within the preset range of each pixel of the sample image, and obtains the preset The brightness value of the R component of the number of pixels. The preset number is set based on the amount of noise in the shooting scene at that time, for example, it can be set to center on the pixel currently selected by the terminal, and select pixels in areas such as 3*3 or 5*5. When the terminal determines that the first difference of the G component luminance value and/or the first difference of the B component luminance value is not within the first preset range, the processing procedure and determination of the terminal None of the first difference values of the R-component luminance values are similar within the first preset range, which will not be repeated here. Specifically, referring to FIG. 9 , FIG. 9 is a schematic diagram of a terminal selecting a preset number of pixels within a preset range of a certain pixel of a sample image in an embodiment of the present invention. In the Figure 9, when the smart phone determines that none of the R1, R2 and R3 is within the range of -10 to 10, the smart phone is within the range of 3*3 pixels of the sample image Select 8 pixels, if the smart phone is processing the luminance value of the R component at the position P22 pixel in the sample image, then select P11, P12, P12, P21 within the range of 3*3 of the P22 pixel , P23, P31, P32 and P33 these 8 pixels. The smart phone respectively acquires the luminance values of the R components of the eight pixels of P11, P12, P12, P21, P23, P31, P32 and P33. When the smart phone determines that the first difference between the G component luminance values and/or the first difference between the B component luminance values is not within the range of -10 to 10, the processing procedure of the terminal and It is determined that none of R1, R2, and R3 is within the range of -10 to 10, so details will not be repeated here.

Step S80, respectively calculating the difference between the luminance values of the R, G and B components of the preset number of pixels and the luminance values of the R, G and B components of the sample image pixels, as the second difference;

When the terminal acquires the brightness values of the R components of the preset number of pixels, calculate the brightness value of the R components of the preset number of pixels and the ratio of the R components of the sample image pixels The difference between the brightness values, the difference is used as the second difference of the brightness value of the R component; when the terminal obtains the brightness value of the G component of the preset number of pixels, calculate the The difference between the luminance value of the G component of the preset number of pixels and the luminance value of the G component of the sample image pixel, using the difference as the second difference of the G component luminance value; when the When the terminal acquires the brightness values of the B components of the preset number of pixels, calculate the brightness values of the B components of the preset number of pixels and the brightness values of the B components of the sample image pixels The difference between them is used as the second difference of the brightness value of the B component. For example, when the smart phone obtains the brightness values of the R components of the eight pixels P11, P12, P12, P21, P23, P31, P32 and P33, calculate the R component of the P22 pixel in the sample image The difference between the luminance value and the luminance value of the R component of the eight pixels of P11, P12, P12, P21, P23, P31, P32 and P33. Specifically, referring to FIG. 10 , the FIG. 10 is a schematic diagram of a certain pixel of a sample image and brightness values of R components of a preset number of pixels in an embodiment of the present invention. 10, it can be seen that the brightness value of the R component of the P22 pixel point is 5, the brightness value of the R component of the P11 pixel point is 1, and the brightness value of the R component of the P12 pixel point is 2, so The brightness value of the R component of the P13 pixel point is 3, the brightness value of the R component of the P21 pixel point is 4, the brightness value of the R component of the P23 pixel point is 6, and the R component value of the P31 pixel point is The brightness value is 9, the brightness value of the R component of the P32 pixel point is 8, and the brightness value of the R component of the P33 pixel point is 7. The smart phone calculates the difference between the brightness value of the R component of the P22 pixel point in the sample image and the brightness value of the R component of the eight pixel points P11, P12, P12, P21, P23, P31, P32, and P33. The differences between them are 4, 3, 2, 1, -1, -4, -3, and -2, respectively.

Step S90, if the second difference is within the second preset range, according to the preset number of pixels corresponding to the second preset range and each pixel of the sample image The average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component are used to obtain a denoised image.

Further, the step S90 includes:

If the second difference is within the second preset range, obtain the R, G and R values of the preset number of pixels corresponding to the second difference within the second preset range The brightness value of the B component;

Calculate the average value of R component brightness values, the average value of G component brightness values, and the average value of B component brightness values between the obtained preset number of pixels and each pixel point of the sample image;

The average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component are recombined into new pixels to obtain a denoised image.

When the terminal obtains the second difference value of the R component luminance value and determines that the second difference value of the R component luminance value is within a second preset range, acquire the The brightness values of the R components of the preset number of pixels corresponding to the second difference value of the brightness values of the R components in the interior are calculated, and the sum of the acquired brightness values of the R components of the preset number of pixels is calculated. The average value of the R component luminance values of each pixel in the sample image is used as the new R component luminance value of the pixel. When the terminal determines that the second difference of the luminance value of the G component and/or the second difference of the luminance value of the B component is within the second preset range, the processing procedure of the terminal is the same as that of determining the The process of the second difference of R component luminance values being within the second preset range is similar, and will not be repeated here. Wherein, the second preset range may be consistent with the first preset range, or may be inconsistent with the first preset range. When the terminal obtains the luminance value of the R component, the luminance value of the G component, and the luminance value of the B component of the new pixel, the luminance value of the R component, the luminance value of the G component, and the B The brightness values of the components are recombined into new pixels, and the new pixels are used as pixels of a new image to obtain the new image, and the new image is a denoised image. For example, when the second preset range is -2 to 2, the smart phone determines the brightness value of the R component of the P22 pixel point and the brightness value of the R component of the P13, P21, P23, and P33 pixel points If the difference between them is in the range of -2 to 2, the brightness values of the R components of the P13, P21, P23 and P33 pixels are correspondingly obtained as 3, 4, 6 and 7. The smart phone calculates the average value of the luminance value 5 of the R component of the P22 pixel point and the luminance value of the R component of the P13, P21, P23, and P33 pixel points 3, 4, 6, and 7, and the obtained average If the value is 5, then 5 is used as the brightness value of the R component of the pixel at the P22 position of the denoised image. When the smart phone obtains the brightness value of the G component and the brightness value of the B component of the pixel at the P22 position of the denoising image, the brightness value of the R component, the brightness value of the G component and the brightness value of the B component of the pixel at the P22 position The brightness value is recombined into the P22 pixel of the denoised image. In this way, the smart phone obtains a complete image after denoising.

Further, the image denoising method also includes:

judging whether the second difference is within a second preset range;

If the second difference value is not within the second preset range, discarding the preset number of pixel points corresponding to the second difference value not within the second preset range.

When the terminal obtains the second difference of the brightness value of the R component, it is determined whether the second difference of the brightness value of the R component is within the second preset range. If the second difference value of the R component luminance value is not within the second preset range, the terminal discards the second difference value of the R component luminance value not within the second preset range Brightness values of the R components of the corresponding preset number of pixels. If the smart phone determines that the difference between the luminance value of the R component of the P22 pixel point and the luminance value of the R component of the P11, P12, P31, and P32 pixel points is not within the range of -2 to 2, Then the brightness values of the R components of the P11, P12, P31 and P32 pixels are discarded, and the brightness values of the R components of the P11, P12, P31 and P32 pixels are not calculated. When the terminal determines that the second difference of the luminance value of the G component and/or the second difference of the luminance value of the B component is not within the second preset range, the processing procedure of the terminal is the same as that of the The process in which the second difference of the luminance value of the R component is not within the second preset range is similar and will not be repeated here.

In this embodiment, when the brightness values of the R, G, and B components of each pixel in the sample image correspond to the brightness values of the R, G, and B components of each pixel in the image to be compared, the difference between the brightness values is not within When within the first preset range, select a preset number of pixels within the preset range of each pixel of the sample image to obtain a denoised image, avoiding a large amount of calculation in the image denoising process , the denoising effect is poor, and it is easy to cause the loss of image edge details.

The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the description of the present invention and the contents of the accompanying drawings, or directly or indirectly used in other related technical fields , are all included in the scope of patent protection of the present invention in the same way.

Claims (10)

1. An image denoising device, characterized in that the image denoising device comprises: The first acquisition module is configured to acquire continuous multi-frame images taken by the terminal, and use one of the multi-frame images as a sample image, and the rest as images to be compared, wherein the format of the multi-frame images is: RGB image format; The second acquisition module is used to respectively acquire the brightness values of the R, G and B components of each pixel point of the sample image, and the brightness values of the R, G and B components of each pixel point of the image to be compared; A processing module, configured to if the difference between the luminance values of the R, G and B components of each pixel of the sample image and the luminance values of the R, G and B components corresponding to each pixel of the image to be compared Within a preset range, the denoised image is obtained according to the average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component between the image to be compared and each pixel point of the sample image. Image. 2. The image denoising device according to claim 1, wherein the image denoising device further comprises: a calculation module, configured to calculate the difference between the brightness values of the R, G and B components of each pixel of the sample image and the brightness values of the R, G and B components corresponding to each pixel of the image to be compared, using said difference as a first difference; A judging module, configured to judge whether the first difference is not within the first preset range; A selecting module, configured to select a preset number of pixels within a preset range of each pixel of the sample image if none of the first difference values is within the first preset range; The second obtaining module is also used to obtain brightness values of R, G and B components of the preset number of pixels; The calculation module is also used to separately calculate the difference between the brightness values of the R, G and B components of the preset number of pixels and the brightness values of the R, G and B components of the sample image pixels value, as the second difference; The processing module is further configured to: if the second difference is within a second preset range, according to the preset number of pixels corresponding to the second preset range and the sample The average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component among each pixel of the image obtain the image after denoising. 3. The image denoising device according to claim 2, wherein the judging module is further configured to judge whether the second difference is within a second preset range; The image denoising device further includes a discarding module, configured to discard the second difference that is not within the second preset range if the second difference is not within the second preset range The corresponding preset number of pixels. 4. image denoising device as claimed in claim 2, is characterized in that, described processing module comprises: An acquiring unit, configured to acquire the preset number of pixels corresponding to the second difference within the second preset range if the second difference is within the second preset range Luminance values of the R, G and B components of ; The first calculation unit is used to separately calculate the average value of R component luminance values, the average value of G component luminance values and the B component luminance between the obtained preset number of pixels and each pixel point of the sample image the average of the values; The first processing unit is configured to recombine the average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component into new pixels, so as to obtain a denoised image. 5. The image denoising device according to any one of claims 1 to 4, wherein the processing module further comprises: The determination unit is configured to determine if the difference between the luminance values of the R, G and B components of each pixel of the sample image and the luminance values of the R, G and B components corresponding to each pixel of the image to be compared Within a preset range, determine the brightness values of the R, G, and B components of the respective pixels of the image to be compared corresponding to the difference within the first preset range; The second calculation unit is used to respectively calculate the average value of the R component brightness value, the average value of the G component brightness value and the average value of the G component brightness value between the image to be compared and each pixel point of the sample image within the first preset range. The average value of the brightness value of the B component; The second processing unit is configured to recombine the average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component into new pixels, so as to obtain a denoised image. 6. An image denoising method, characterized in that, the image denoising method comprises the following steps: Acquiring continuous multi-frame images taken by the terminal, using one of the multi-frame images as a sample image, and the rest as images to be compared, wherein the format of the multi-frame images is an RGB image format; Respectively acquire brightness values of R, G and B components of each pixel point of the sample image, and brightness values of R, G and B components of each pixel point of the image to be compared; If the difference between the brightness values of the R, G and B components of each pixel of the sample image and the brightness values of the R, G and B components corresponding to each pixel of the image to be compared is within the first preset range , the image after denoising is obtained according to the average value of R component luminance values, the average value of G component luminance values and the average value of B component luminance values between the image to be compared and each pixel point of the sample image. 7. The image denoising method according to claim 6, wherein the brightness values of the R, G and B components of each pixel point of the sample image are respectively obtained, and the brightness values of each pixel point of the image to be compared are respectively obtained. After the steps of the luminance values of the R, G and B components, also include: Calculate the difference between the brightness values of the R, G and B components of each pixel of the sample image and the brightness values of the R, G and B components corresponding to each pixel of the image to be compared, and convert the difference as the first difference; judging whether the first difference is not within a first preset range; If none of the first difference values is within the first preset range, selecting a preset number of pixels within a preset range of each pixel of the sample image; Obtain the brightness values of the R, G and B components of the preset number of pixels; Calculate the difference between the luminance values of the R, G, and B components of the preset number of pixels and the luminance values of the R, G, and B components of the sample image pixels, as the second difference; If the second difference is within the second preset range, according to the R between the preset number of pixels corresponding to the second preset range and each pixel of the sample image The average value of component luminance values, the average value of G component luminance values, and the average value of B component luminance values obtain a denoised image. 8. The image denoising method according to claim 7, wherein said calculation of the luminance values of the R, G and B components of the preset number of pixels and the R of the sample image pixels respectively , the difference between the luminance values of the G and B components, after the step of the second difference, also includes: judging whether the second difference is within a second preset range; If the second difference value is not within the second preset range, discarding the preset number of pixel points corresponding to the second difference value not within the second preset range. 9. The image denoising method according to claim 7, wherein if the second difference is within a second preset range, then according to the corresponding value within the second preset range The step of obtaining the denoised image by the average value of R component luminance value, the average value of G component luminance value and the average value of B component luminance value between the preset number of pixels and each pixel point of the sample image include: If the second difference is within the second preset range, obtain the R, G and R values of the preset number of pixels corresponding to the second difference within the second preset range The brightness value of the B component; Calculate the average value of R component brightness values, the average value of G component brightness values, and the average value of B component brightness values between the obtained preset number of pixels and each pixel point of the sample image; The average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component are recombined into new pixels to obtain a denoised image. 10. The image denoising method according to any one of claims 6 to 9, wherein if the luminance values of the R, G and B components of each pixel of the sample image are the same as those of the image to be compared If the difference between the luminance values of the R, G and B components corresponding to the pixel is within the first preset range, then according to the average value of the luminance values of the R component between the image to be compared and each pixel of the sample image , the average value of the G component luminance value and the average value of the B component luminance value obtain the denoised image and include: If the difference between the brightness values of the R, G and B components of each pixel of the sample image and the brightness values of the R, G and B components corresponding to each pixel of the image to be compared is within the first preset range , then determine the luminance values of the R, G and B components of the respective pixels of the image to be compared corresponding to the difference within the first preset range; respectively calculating the average value of R component brightness values, the average value of G component brightness values and the average value of B component brightness values between the image to be compared and each pixel point of the sample image within the first preset range ; The average value of the brightness values of the R component, the average value of the brightness values of the G component, and the average value of the brightness values of the B component are recombined into new pixels to obtain a denoised image.