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WO2012167663A1 - Procédé et dispositif d'ajustement de la luminance d'une image vidéo - Google Patents

Procédé et dispositif d'ajustement de la luminance d'une image vidéo Download PDF

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Publication number
WO2012167663A1
WO2012167663A1 PCT/CN2012/073674 CN2012073674W WO2012167663A1 WO 2012167663 A1 WO2012167663 A1 WO 2012167663A1 CN 2012073674 W CN2012073674 W CN 2012073674W WO 2012167663 A1 WO2012167663 A1 WO 2012167663A1
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WO
WIPO (PCT)
Prior art keywords
brightness
accumulator
statistical
video frame
result
Prior art date
Application number
PCT/CN2012/073674
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English (en)
Chinese (zh)
Inventor
汪向利
Original Assignee
中兴通讯股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 中兴通讯股份有限公司 filed Critical 中兴通讯股份有限公司
Publication of WO2012167663A1 publication Critical patent/WO2012167663A1/fr

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/44—Receiver circuitry for the reception of television signals according to analogue transmission standards
    • H04N5/57—Control of contrast or brightness
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/431—Generation of visual interfaces for content selection or interaction; Content or additional data rendering
    • H04N21/4318—Generation of visual interfaces for content selection or interaction; Content or additional data rendering by altering the content in the rendering process, e.g. blanking, blurring or masking an image region
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
    • H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream

Definitions

  • the present invention relates to the field of multimedia and image processing, and in particular to a method and apparatus for adjusting brightness of a video image.
  • BACKGROUND With the development of multimedia technology, people have higher and higher requirements on video quality and form, which makes video processing technology extremely important. Among them, image gamma correction is an important image processing technology in face recognition. , medical, military image enhancement and other fields have been widely used. The principle of gamma correction is to use a certain illumination imaging model to establish a point-by-point transformation relationship between the original image and the target image. According to the degree of simplification of the model, there may be linear and nonlinear changes.
  • the complexity of each of the different algorithms varies, and the effects are also good or bad.
  • the gamma correction technique is mainly set to adjust the brightness of the image, which needs to be adjusted according to the attribute of each pixel in the statistical image, and the number of pixels of each frame in the video image is relatively large, and the statistical takes a long time to pass.
  • the method of adjusting the current frame for the current frame pixel statistically affects the real-time performance of the video image, which is not conducive to user viewing. In view of the problem of poor real-time brightness adjustment in video image processing in the related art, an effective solution has not been proposed yet.
  • Embodiments of the present invention provide a method and apparatus for adjusting a brightness of a video image to at least solve the problem of poor real-time brightness adjustment in the video image processing described above.
  • a method for adjusting a brightness of a video image including: counting brightness of a current video frame during video playback; determining a brightness adjustment mode according to a statistical brightness result; playing a current video frame In the subsequent nth video frame, the brightness of the nth video frame is adjusted using a determined brightness adjustment manner, where n is an integer greater than or equal to 1.
  • the statistics of the brightness of the current video frame include: counting the brightness of the current video frame by using a combination of the tag register group and the memory, and storing the statistical result of the brightness into the accumulation register group; when the memory is in an idle state, the accumulation of the register group is The statistical results are written to the memory.
  • the brightness of the current video frame is calculated by combining the tag register group and the memory, and storing the statistical result of the brightness in the tag register group into the accumulation register group includes: reading the brightness value of each pixel in the current video frame one by one, extracting a label of the brightness value; a label for determining whether there is a brightness value in the tag register group, and if so, adding 1 to the corresponding accumulator in the accumulated register group; if not, reading the statistical result of the brightness value from the memory, and counting The result is incremented by one and then written to the corresponding accumulator in the accumulator group.
  • a brightness adjustment apparatus for a video image including: a brightness statistics module, configured to count a brightness of a current video frame during video playback; and an adjustment mode determining module, configured to The brightness result of the brightness statistics module determines the brightness adjustment mode; the brightness adjustment module is set to adjust the brightness of the nth video frame by using the brightness adjustment mode determined by the adjustment mode determining module when playing the nth video frame after the current video frame is played.
  • n is an integer greater than or equal to 1.
  • the brightness statistics module includes: a brightness statistics unit configured to collect the brightness of the current video frame by using a combination of the tag register group and the memory, and store the brightness statistical result in the accumulation register group; the statistical result is written in the unit, and is set to be in the memory. In the status, the statistics in the accumulated register group are written to the memory.
  • the brightness statistics unit comprises: a brightness value reading subunit, configured to read the brightness value of each pixel in the current video frame one by one, and extract the label of the brightness value; the determining subunit is set to determine whether there is brightness in the tag register group The value reads the label of the brightness value read by the subunit; the first statistical subunit is set to determine that the judgment result of the subunit is YES, and the corresponding accumulator in the accumulating register group is incremented by one; the second statistical subunit, setting To judge whether the judgment result of the subunit is no, the statistical result of the luminance value is read from the memory, and the statistical result is added to 1 and then written to the corresponding accumulator in the accumulator group.
  • the second statistical subunit includes: a statistical result writing subunit, configured to write the statistical data in the accumulator that is occupied to the memory when the accumulator corresponding to the luminance value is occupied in the accumulator group After that, the statistical result of the luminance value is incremented by one and the occupied accumulator is written.
  • the brightness statistics module further includes: a statistical result dump unit configured to write the statistical result in the accumulator group to the memory after all the accumulators in the accumulator group are occupied.
  • the adjustment mode determining module includes: a gamma table determining unit configured to determine a gamma table according to the statistical brightness result, wherein the brightness adjustment mode is recorded in the gamma table.
  • the brightness of the subsequent frame is adjusted by using the brightness statistics of the current frame, which can meet the brightness adjustment requirement in the video image processing, and can also meet the real-time requirement of the video playback, and solve the real-time brightness adjustment in the video image processing.
  • the problem of poor performance optimizes the quality of video playback and enhances the user experience.
  • FIG. 1 is a flowchart of a method for adjusting brightness of a video image according to Embodiment 1 of the present invention
  • FIG. 2 is a schematic structural view of a statistical device according to Embodiment 1 of the present invention
  • FIG. 4 is a block diagram showing the structure of a gamma correction system according to Embodiment 2 of the present invention.
  • Embodiment 5 is a diagram showing the time required for frame statistics according to Embodiment 2 of the present invention.
  • BEST MODE FOR CARRYING OUT THE INVENTION the present invention will be described in detail with reference to the accompanying drawings. It should be noted that the embodiments in the present application and the features in the embodiments may be combined with each other without conflict.
  • the embodiment of the invention considers that the correlation between the brightness of the video image before and after the video image is relatively large, and proposes a brightness adjustment method and device for the video image, which can meet the real-time requirement in the video image processing.
  • Embodiment 1 This embodiment provides a method for adjusting the brightness of a video image. Referring to FIG.
  • Step S102 During video playback, the brightness of the current video frame is counted; When a video frame is received, statistics are performed once. For the case where the video playback accuracy is not high, the brightness statistics of the video frame may be performed every specified frame.
  • Step S104 determining according to the statistical brightness result.
  • the gamma table can be introduced, for example: determining a gamma table according to the statistical brightness result, wherein the gamma table records the brightness adjustment mode; step S106, when playing the current video frame In the subsequent nth video frame, the brightness of the nth video frame is adjusted using a determined brightness adjustment manner, where n is an integer greater than or equal to 1.
  • the brightness of each frame can be adjusted in real time, or it can be adjusted every specified number of frames according to the needs of video playback. In the case where the playback accuracy is not high, the current video frame can also be used.
  • the brightness adjustment manner determined by the statistical result adjusts the brightness of the n video frames that are subsequently played, where n is an integer greater than or equal to 1.
  • the gamma table can be used to adjust the brightness of the video frame in accordance with the associated gamma correction mode.
  • the brightness adjustment requirement in the video image processing can be satisfied, and the real-time requirement of the video playback can be satisfied, and the real-time performance of the brightness adjustment in the video image processing is solved.
  • the problem is to optimize the quality of the video playback and enhance the user experience.
  • a schematic diagram of the statistical device shown in FIG. 2 may be used.
  • the statistical device includes a comparator, two adders, a Tag register group, an accumulating register group, and a single port RAM (memory, That is, SRAM in Fig. 2).
  • the device utilizes the spatial correlation principle of each pixel of the video to perform fast statistics with very few hardware resources.
  • the foregoing statistics on the brightness of the current video frame may include: counting the brightness of the current video frame by using a combination of the tag register group and the memory, and storing the statistical result of the brightness in the accumulation register group; when the memory is in an idle state, The statistics in this accumulated register set are written to the memory.
  • This statistical method of combining registers with memory improves the speed of statistics because the operation of the registers is faster than the operation of the memory.
  • the brightness of the current video frame is calculated by combining the tag register group and the memory, and storing the statistical result of the brightness in the tag register group into the accumulation register group includes: reading the brightness value of each pixel in the current video frame one by one, Extracting the label of the brightness value; determining whether there is a label of the brightness value in the tag register group, and if so, adding 1 to the corresponding accumulator in the accumulating register group; if not, reading the statistical result of the brightness value from the memory, After adding 1 to the statistics, write the corresponding accumulator in the accumulator group.
  • the method further includes: writing the statistical result in the accumulator group to the memory after all the accumulators in the accumulator group are occupied. The following is based on the statistical device shown in Figure 2, see the statistical process of introducing brightness: When a pixel arrives, the address of the pixel in the SRAM is first divided into two parts, namely Tag and Index.
  • the upper 5 bits in the address are used as tags, and the lower 3 bits are used as Index.
  • the Tag has the same value as the Tag register group, indicating that the tag is hit, the pixel is already in the accumulation register group. In this case, you only need to add 1 to the corresponding accumulator register. If the value in Tag and Tag register group is different, it means that the tag is missing. In this case, you need to read the corresponding statistical value in SRAM, and add 1 in the process of reading. Put in the corresponding accumulator register. If the accumulator registers are all occupied, the data in the accumulator register needs to be written into the corresponding SRAM, and then the value in the SRAM is read.
  • the data in the accumulation register group can be written to the SRAM as long as the SRAM port is in an idle state.
  • the valid and invalid flag bits (Valid) on the left side of the Tag register group in Figure 2 above are used to indicate: Each register in the Tag register group has a valid bit. This valid bit only indicates whether the tag in the Tag register group is valid. . Whether Valid is valid determines whether or not to participate in the comparison to see if it can hit. Only hit, you can directly add the corresponding accumulator register to 1. If there is no hit, you must read the statistics from the SRAM before the current brightness. At the same time, this is divided into two cases.
  • the read value is incremented by 1 and then stored in the accumulation register;
  • the second case is that if the accumulated register selected by the readout brightness value is already in use, it cannot be read at this time. It is necessary to first write the value of the accumulated register to the SRAM, and then write the statistical result of the current brightness from the previous stage. SRAM Read in, add 1 and store it in the accumulation register.
  • the brightness of the video frame is divided into 256 levels, which are represented by 0-255.
  • the implementation of the foregoing method in this embodiment mainly includes two parts: First, the statistics of real-time luminance.
  • the second method is a correction mode.
  • the brightness of the video frame is determined according to the result of the brightness statistics, and according to the principle of video time locality, that is, there is correlation between each frame of the video captured in the same time period to guide the brightness of the subsequent frame. Adjustment. In this way, the real-time requirements are met, and the effect of improving the video quality is achieved.
  • Embodiment 2 This embodiment provides a brightness adjustment device for a video image.
  • the device includes: a brightness statistics module 32 configured to count the brightness of the current video frame during video playback; the adjustment mode determining module 34 And being connected to the brightness statistic module 32, configured to determine the brightness adjustment mode according to the brightness result calculated by the brightness statistic module 32.
  • the brightness adjustment module 36 is connected to the adjustment mode determining module 34, and is set to be the nth video after playing the current video frame.
  • the brightness statistics module 32 includes: a brightness statistics unit configured to collect the brightness of the current video frame by using a combination of the tag register group and the memory, and store the brightness statistical result in the accumulation register group; the statistical result writing unit, and the brightness statistics The cells are connected and are set to write the statistics in the accumulated register set to the memory when the memory is in an idle state.
  • the brightness statistics unit comprises: a brightness value reading subunit, configured to read the brightness value of each pixel in the current video frame one by one, extract a label of the brightness value; determine the subunit, and the brightness value reading subunit Connected, set to determine whether there is a label of the brightness value read by the brightness reading subunit in the tag register group; the first statistical subunit is connected to the judging subunit, and is set to judge that the subunit judgement result is yes, The corresponding accumulator in the accumulating register group is incremented by one; the second statistical subunit is connected to the judging subunit, and is set to judge the subunit When the result of the break is no, the statistical result of the luminance value is read from the memory, and the statistical result is added to 1 and then written to the corresponding accumulator in the accumulator group.
  • a brightness value reading subunit configured to read the brightness value of each pixel in the current video frame one by one, extract a label of the brightness value
  • the second statistical subunit includes: a statistical result writing subunit, configured to write the statistical data in the accumulator that is occupied to the memory when the accumulator corresponding to the brightness value is occupied in the accumulator group After that, the statistical result of the luminance value is incremented by one and the occupied accumulator is written.
  • the brightness statistics module 32 further includes: a statistical result dump unit configured to write the statistical result in the accumulator group to the memory after all the accumulators in the accumulator group are occupied.
  • the adjustment mode determining module 34 includes: a gamma table determining unit configured to determine a gamma table according to the statistical brightness result, wherein the gamma table records a brightness adjustment mode.
  • the embodiment further provides a gamma correction system.
  • the principle of the system is to first perform statistics on the brightness of the video frame, and select different correction tables according to the statistical result, so as to implement the brightness of the subsequent frame. Correction.
  • the system mainly includes: a brightness statistical device (corresponding to the brightness statistics module 32), a gamma table (corresponding to the adjustment mode determining module 34), a correcting device (corresponding to the brightness adjusting module 36), and Video display device.
  • the brightness statistics device can be implemented by using the circuit shown in FIG. 2 in Embodiment 1, and its working principle is the same as that described in Embodiment 1, and will not be described in detail herein. See the statistical time curve shown in Figure 5.
  • the thick solid line is the time required to count one frame using the existing luminance statistical device, and the dotted line and the dotted line are the time taken for the device to count one frame of data.
  • the dotted line and the dotted line indicate the results obtained by the Tag register and the accumulated register set of 8 and 16, respectively.
  • the function of the gamma table is to select a suitable gamma table based on the results of the luminance statistics.
  • a brightness correction for nonlinearity is achieved for the correction device.
  • the correcting means performs nonlinear correction for each pixel based on the gamma table. Since each frame of image brightness statistics takes a lot of time.
  • the corrected frame is often the same as the frame for performing luminance statistics, because according to the principle of image temporal correlation, that is, during the video shooting, the image changes of the two frames before and after are small, and only a very small number of pixels have differences.
  • a new implementation method is proposed in the device, that is, the correction of the current frame uses the gamma table obtained after the previous frame luminance statistics to improve the real-time performance of the system.
  • the video display device is for displaying a video output to the correction device.
  • the above embodiment adopts the principle of pixel spatial correlation, and combines the label with the accumulation register group to improve the efficiency while reducing resources, and can reduce a large number of registers in the process of luminance statistics.
  • the chip that guarantees the same function obtains a smaller area and improves the competitiveness of the product.
  • the above modules or steps of the present invention can be implemented by a general-purpose computing device, which can be concentrated on a single computing device or distributed over a network composed of multiple computing devices. Alternatively, they may be implemented by program code executable by the computing device, such that they may be stored in the storage device by the computing device and, in some cases, may be different from the order herein.
  • the steps shown or described are performed, or they are separately fabricated into individual integrated circuit modules, or a plurality of modules or steps are fabricated as a single integrated circuit module.

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Transforming Electric Information Into Light Information (AREA)
  • Controls And Circuits For Display Device (AREA)
  • Picture Signal Circuits (AREA)

Abstract

L'invention concerne un procédé et un dispositif pour ajuster la luminance d'une image vidéo. Le procédé consiste à : lors de la lecture d'une vidéo, compter la luminance de la trame vidéo courante ; déterminer un procédé d'ajustement de luminance selon le résultat de luminance comptée ; et lors de la lecture de la nième trame vidéo après la trame vidéo courante, ajuster la luminance de la nième trame vidéo au moyen du procédé d'ajustement de luminance, où n est un nombre entier supérieur ou égal à 1. La présente invention résout le problème selon lequel le caractère instantané de l'ajustement de luminance est médiocre durant un traitement d'image vidéo, optimisant la qualité de la lecture vidéo et améliorant l'expérience d'utilisateur.
PCT/CN2012/073674 2011-06-07 2012-04-09 Procédé et dispositif d'ajustement de la luminance d'une image vidéo WO2012167663A1 (fr)

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CN201110150838.5A CN102223546B (zh) 2011-06-07 2011-06-07 视频图像的亮度调整方法和装置

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CN102223546B (zh) * 2011-06-07 2016-06-08 中兴通讯股份有限公司 视频图像的亮度调整方法和装置
CN104093069B (zh) * 2014-06-13 2018-11-06 北京奇艺世纪科技有限公司 一种视频播放方法和播放器装置
CN107861689B (zh) * 2017-11-06 2021-03-05 北京中科睿芯智能计算产业研究院有限公司 一种芯片面积与功耗优化方法及系统
CN109711328B (zh) * 2018-12-25 2021-07-30 上海众源网络有限公司 一种人脸识别方法、装置及电子设备
CN111369471B (zh) * 2020-03-12 2023-09-08 广州市百果园信息技术有限公司 一种图像处理方法、装置、设备和存储介质
CN114466147B (zh) * 2021-12-23 2024-03-15 阿里巴巴（中国）有限公司 一种视频亮度的调整方法、装置、电子设备以及存储介质

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