Rajashekar et al., 2010 - Google Patents
Perceptual quality assessment of color images using adaptive signal representationRajashekar et al., 2010
View PDF- Document ID
- 12012493754299021137
- Author
- Rajashekar U
- Wang Z
- Simoncelli E
- Publication year
- Publication venue
- Human Vision and Electronic Imaging XV
External Links
Snippet
Perceptual image distortion measures can play a fundamental role in evaluating and optimizing imaging systems and image processing algorithms. Many existing measures are formulated to represent" just noticeable differences"(JNDs), as measured in psychophysical …
- 230000003044 adaptive 0 title abstract description 31
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
- G06T2207/10—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
- G06T5/001—Image restoration
- G06T5/005—Retouching; Inpainting; Scratch removal
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/46—Colour picture communication systems
- H04N1/56—Processing of colour picture signals
- H04N1/60—Colour correction or control
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
- G06T3/40—Scaling the whole image or part thereof
- G06T3/4053—Super resolution, i.e. output image resolution higher than sensor resolution
- G06T3/4061—Super resolution, i.e. output image resolution higher than sensor resolution by injecting details from a different spectral band
-
- 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
- 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
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/004—Diagnosis, testing or measuring for television systems or their details for digital television systems
-
- 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
- G06T11/00—2D [Two Dimensional] image generation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/02—Diagnosis, testing or measuring for television systems or their details for colour television signals
Similar Documents
Publication | Publication Date | Title |
---|---|---|
KR100924121B1 (en) | Multi-view camera color calibration using color checker chart | |
Ciancio et al. | No-reference blur assessment of digital pictures based on multifeature classifiers | |
Rajashekar et al. | Perceptual quality assessment of color images using adaptive signal representation | |
Gupta et al. | A modified PSNR metric based on HVS for quality assessment of color images | |
Brauers et al. | Multispectral filter-wheel cameras: Geometric distortion model and compensation algorithms | |
Fairchild et al. | iCAM framework for image appearance, differences, and quality | |
US20140022410A1 (en) | Spectral Synthesis for Image Capture Device Processing | |
EP3238428B1 (en) | Three dimensional, hue-plane preserving and differentiable quasi-linear transformation method for color correction | |
Yuan et al. | Image quality assessment: A sparse learning way | |
Chakrabarti et al. | Modeling radiometric uncertainty for vision with tone-mapped color images | |
He et al. | Image quality assessment based on S-CIELAB model | |
Dimauro | A new image quality metric based on human visual system | |
Pedersen et al. | A new spatial hue angle metric for perceptual image difference | |
Polzehl et al. | Adaptive smoothing of digital images: The R package adimpro | |
Simpkins et al. | An introduction to super-resolution imaging | |
JPWO2016051716A1 (en) | Image processing method, image processing apparatus, and recording medium for storing image processing program | |
Rajashekar et al. | Quantifying color image distortions based on adaptive spatio-chromatic signal decompositions | |
Andersen et al. | Weighted constrained hue-plane preserving camera characterization | |
Shrestha et al. | CFA based simultaneous multispectral imaging and illuminant estimation | |
CN104010189B (en) | A kind of objective evaluation method of video quality based on the weighting of colourity co-occurrence matrix | |
Lansel et al. | Local linear learned image processing pipeline | |
Fry et al. | Scene-and-process-dependent spatial image quality metrics | |
Tao et al. | Video quality assesment using M-SVD | |
Lukac et al. | A robust, cost-effective post-processor for enhancing demosaicked camera images | |
Bonanomi et al. | I3D: a new dataset for testing denoising and demosaicing algorithms |