Triantaphillidou et al., 2019 - Google Patents
Contrast sensitivity in images of natural scenesTriantaphillidou et al., 2019
View HTML- Document ID
- 382666222375406528
- Author
- Triantaphillidou S
- Jarvis J
- Psarrou A
- Gupta G
- Publication year
- Publication venue
- Signal Processing: Image Communication
External Links
Snippet
The contrast sensitivity function (CSF) characterizes spatial detection in the human visual system and is typically measured from simple, synthetic stimuli. We used spatial frequency decomposition, RMS contrast modulation, a yes/no paradigm and an adaptive staircase to …
- 230000035945 sensitivity 0 title abstract description 72
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
- 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
- G06T5/001—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
- G06T5/20—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image by the use of local operators
-
- 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
- H04N1/40—Picture signal circuits
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Fairchild et al. | iCAM framework for image appearance, differences, and quality | |
Mohammadi et al. | Subjective and objective quality assessment of image: A survey | |
Triantaphillidou et al. | Contrast sensitivity in images of natural scenes | |
Van der Schaaf et al. | Modelling the power spectra of natural images: statistics and information | |
Huang et al. | Natural color image enhancement and evaluation algorithm based on human visual system | |
US8760578B2 (en) | Quality assessment of high dynamic range, visual dynamic range and wide color gamut image and video | |
Johnson et al. | On contrast sensitivity in an image difference model | |
Delaigle et al. | Human visual system features enabling watermarking | |
Haun et al. | Perceived contrast in complex images | |
CN106663313A (en) | Improvements in and relating to the display of images | |
Farrell | Image quality evaluation | |
Mantiuk et al. | ColorVideoVDP: A visual difference predictor for image, video and display distortions | |
Kane et al. | System gamma as a function of image-and monitor-dynamic range | |
Kayargadde et al. | Estimation of perceived image blur using edge features | |
Fry et al. | Scene-and-process-dependent spatial image quality metrics | |
Katajamäki et al. | Objective quality potential measures of natural color images | |
Yeganeh | Cross dynamic range and cross resolution objective image quality assessment with applications | |
Triantaphillidou | Introduction to image quality and system performance | |
Ajagamelle et al. | Analysis of the difference of gaussians model in image difference metrics | |
Rao et al. | Combined transform and spatial domain based “no reference” measure for underwater images | |
Kayargadde | Feature extraction for image quality prediction | |
Kim et al. | No-reference contrast measurement for color images based on visual stimulus | |
EP1919189B1 (en) | Method and apparatus for processing digital images | |
Fry et al. | Image quality optimization via application of contextual contrast sensitivity and discrimination functions | |
Kitanovski et al. | Masking in chrominance channels of natural images—Data, analysis, and prediction |