VSNR: A wavelet-based visual signal-to-noise ratio for natural images

IEEE Transactions on Image Processing

Volumn 16, Issue 9, 2007, Pages 2284-2298

  Chandler, Damon M ^a   Hemami, Sheila S ^b  

^a OKLAHOMA STATE UNIVERSITY   (United States)

^b Department of Molecular Biology and Genetics   (United States)

Author keywords

Contrast; Distortion; Human visual system (HVS); Image fidelity; Image quality; Noise; Visual fidelity; Wavelet

Indexed keywords

COMPUTATIONAL COMPLEXITY; IMAGE QUALITY; PIXELS; SIGNAL TO NOISE RATIO; VISION; VISUALIZATION; WAVELET DECOMPOSITION;

DISTORTION-CONTRAST SPACE; HUMAN VISUAL SYSTEM; VISUAL FIDELITY; VISUAL SIGNAL-TO-NOISE RATIO;

IMAGE PROCESSING;

ALGORITHM; ARTICLE; BIOMIMETICS; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; VISION;

ALGORITHMS; BIOMIMETICS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; VISUAL PERCEPTION;

EID: 34548221486     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2007.901820     Document Type: Article

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