Image super-resolution as sparse representation of raw image patches

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Volumn , Issue , 2008, Pages

  Yang, Jianchao ^a,b   Wright, John ^a,c   Huang, Thomas ^a,b   Ma, Yi ^a,c  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b Beckman Institute

^c University of Illinois at Urbana Champaign

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; FEATURE EXTRACTION; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE SEGMENTATION; OPTICAL RESOLVING POWER; PATTERN RECOGNITION; SIGNAL RECONSTRUCTION; STATISTICAL METHODS;

COMPRESSED SENSING; HIGH-RESOLUTION IMAGING; ILL-POSED; IMAGE SUPER RESOLUTIONS; INPUT IMAGES; LOW-RESOLUTION; MILD CONDITIONS; OVER-COMPLETE; PAPER ADDRESSES; RAW IMAGES; SPARSE REPRESENTATIONS; SUPER RESOLUTIONS; SUPER-RESOLUTION; TRAINING IMAGES;

LAWS AND LEGISLATION;

EID: 51949105499     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587647     Document Type: Conference Paper

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