AKINTOYE et al., 2018 - Google Patents
COMPOSITE MEDIAN WIENER FILTER BASED TECHNIQUE FOR IMAGE ENHANCEMENT.AKINTOYE et al., 2018
View PDF- Document ID
- 18351983997841913578
- Author
- AKINTOYE K
- ISMIAL N
- OTHMAN N
- RAHIM M
- ABDULLAH A
- Publication year
- Publication venue
- Journal of Theoretical & Applied Information Technology
External Links
Snippet
Image processing begins with image enhancement to improve the quality of the information existing in images for further processing. Noise is any unwanted object that affects the quality of original images. This always happened during the acquisition of images, which …
- 238000000034 method 0 title abstract description 56
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20172—Image enhancement details
- G06T2207/20182—Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20048—Transform domain processing
- G06T2207/20056—Discrete and fast Fourier transform, [DFT, FFT]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/001—Image restoration
- G06T5/002—Denoising; Smoothing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/007—Dynamic range modification
- G06T5/008—Local, e.g. shadow enhancement
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/001—Image restoration
- G06T5/003—Deblurring; Sharpening
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/20—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image by the use of local operators
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/40—Analysis of texture
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Janani et al. | Image enhancement techniques: A study | |
Zahran et al. | Automatic weld defect identification from radiographic images | |
Zoran et al. | Scale invariance and noise in natural images | |
Aslantas et al. | A comparison of criterion functions for fusion of multi-focus noisy images | |
Saxena et al. | Noises and image denoising techniques: a brief survey | |
US20200118251A1 (en) | Moran's i for impulse noise detection and removal in color images | |
CN111612741A (en) | An accurate no-reference image quality assessment method based on distortion identification | |
Gupta et al. | Fast single image haze removal method for inhomogeneous environment using variable scattering coefficient | |
Krishnan et al. | A novel underwater image enhancement technique using ResNet | |
Al Mudhafar et al. | Noise in digital image processing: A review study | |
Prasad et al. | A systematic review of noise types, denoising methods, and evaluation metrics in images | |
Dwivedy et al. | Performance comparison of various filters for removing different image noises | |
AKINTOYE et al. | COMPOSITE MEDIAN WIENER FILTER BASED TECHNIQUE FOR IMAGE ENHANCEMENT. | |
Mohamadi et al. | A new hybrid denoising model based on PDEs | |
Chowdhury et al. | Eradication of Salt and Pepper Noise from a Tumorous MRI image using SNPRB Filter | |
Sharma et al. | Technical assessment of various image enhancement techniques using finger vein for personal authentication | |
Pawana et al. | Image Enhancement using CLAHE and Noise Removal for Shoreline Detection Framework | |
Chen et al. | A pilot study on a new image enhancement method using spatial statistics | |
Nagarathna et al. | Signal Dependent Local Noise Removal Using Weiner Filter Decomposition | |
Prayugo et al. | Median Filter Optimization and Sharpening Techniques to Improve Digital Image Quality | |
RU2695424C1 (en) | Device for improving image quality | |
Kalyana Sundara Rajan et al. | Multiscale decomposition and fusion‐based color contrast restoration for various water‐colored environments | |
Satange et al. | Historical document preservation using image processing technique | |
Zhang et al. | Identification for the Low-Contrast Image Signal with Regularized Variational Term and Dynamical Saturating Nonlinearity | |
MEENAKSHI | Medicinal Plant Leaf Image Enhancement using Guided Filter and Adaptive Gamma Correction with Weighting Distribution |