Sparse representation for blind image quality assessment

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2012, Pages 1146-1153

  He, Lihuo ^a   Tao, Dacheng ^b   Li, Xuelong ^c   Gao, Xinbo ^a  

^a XIDIAN UNIVERSITY   (China)

^b UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^c XI AN INSTITUTE OF OPTICS AND PRECISION MECHANICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DISTORTED IMAGES; EFFECTIVE ALGORITHMS; FOLLOWING PROBLEM; IMAGE QUALITY ASSESSMENT; MEAN OPINION SCORES; NATURAL SCENE STATISTICS; NUMBER OF SAMPLES; SPARSE CODING; SPARSE REPRESENTATION; SUBJECTIVE QUALITY; TRAINING SAMPLE; VISUAL QUALITIES; WAVELET DOMAIN;

ALGORITHMS; COMPUTER VISION; MAPPING;

IMAGE QUALITY;

EID: 84866660569     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6247795     Document Type: Conference Paper

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