Erkanli et al., 2010 - Google Patents
Enhancement technique for uniformly and non-uniformly illuminated dark imagesErkanli et al., 2010
- Document ID
- 12094503537780208554
- Author
- Erkanli S
- Rahman Z
- Publication year
- Publication venue
- 2010 10th International Conference on Intelligent Systems Design and Applications
External Links
Snippet
Recently, considerable research has been done to reduce the gap between direct observation of a scene and its recorded image. Typically the differences exist because of the high dynamic range compression capability of the human visual systems, and its capacity for …
- 238000000034 method 0 title description 10
Classifications
-
- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color 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
- G06T5/009—Global, i.e. based on properties of the image as a whole
-
- 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
- G06T5/004—Unsharp masking
-
- 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
-
- 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
-
- 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
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/40—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image by the use of histogram techniques
-
- 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
- G06T2207/20004—Adaptive image processing
-
- 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
- G06T7/00—Image analysis
- G06T7/40—Analysis of texture
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Tan et al. | Exposure based multi-histogram equalization contrast enhancement for non-uniform illumination images | |
Chang et al. | Automatic contrast-limited adaptive histogram equalization with dual gamma correction | |
Fu et al. | Retinex-based perceptual contrast enhancement in images using luminance adaptation | |
Nercessian et al. | Non-linear direct multi-scale image enhancement based on the luminance and contrast masking characteristics of the human visual system | |
Tao et al. | Modified luminance based MSR for fast and efficient image enhancement | |
US6834125B2 (en) | Method of improving a digital image as a function of its dynamic range | |
Kolås et al. | Spatio-temporal Retinex-inspired envelope with stochastic sampling: a framework for spatial color algorithms | |
US20030026494A1 (en) | Method of improving a digital image having white zones | |
Hanumantharaju et al. | Color image enhancement using multiscale retinex with modified color restoration technique | |
Arigela et al. | Self-tunable transformation function for enhancement of high contrast color images | |
Hum et al. | A contrast enhancement framework under uncontrolled environments based on just noticeable difference | |
Arigela et al. | A locally tuned nonlinear technique for color image enhancement | |
Reflectance–Illuminance | Retinex image processing: improving the visual realism of color images | |
Goel et al. | An efficient approach to restore naturalness of non-uniform illumination images | |
Choudhury et al. | Perceptually motivated automatic color contrast enhancement | |
Erkanli et al. | Enhancement technique for uniformly and non-uniformly illuminated dark images | |
Watanabe et al. | Improvement of color quality with modified linear multiscale retinex | |
Jung et al. | Naturalness-preserved tone mapping in images based on perceptual quantization | |
Sun et al. | Luminance based MSR for color image enhancement | |
Pardhi et al. | Enhancement of nighttime image visibility using wavelet fusion of equalized color channels and luminance with Kekre’s LUV color space | |
Ghous et al. | Efficient image enhancement using improved RIQMC based ROHIM model | |
Kim et al. | Intensity surface stretching technique for contrast enhancement of digital photography | |
Lin et al. | Level-base compounded logarithmic curve function for colour image enhancement | |
Erkanli et al. | A wavelet based enhancement technique for non-uniform and uniform-dark images | |
Patel et al. | A neighborhood dependent nonlinear technique for color image enhancement |