Super-Resolution using Regularized Orthogonal Matching Pursuit based on compressed sensing theory in the wavelet domain

Proceedings of the 2009 6th International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends, CGIV2009

Volumn , Issue , 2009, Pages 349-354

  Fan, Na ^a  

^a EAST CHINA NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMMERCIAL SOFTWARE; COMPRESSED SENSING; ENERGY FUNCTIONS; ORTHOGONAL MATCHING PURSUIT; SPECIALIZED TRAINING; STATE-OF-THE-ART METHODS; SUBJECTIVE QUALITY; SUPER RESOLUTION; SUPER RESOLUTION ALGORITHMS; SUPERRESOLUTION METHODS; TRAINING IMAGE; WAVELET DOMAIN;

ALGORITHMS; SIGNAL RECONSTRUCTION; VISUALIZATION; WAVELET ANALYSIS;

COMPUTER GRAPHICS;

EID: 70549109896     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CGIV.2009.90     Document Type: Conference Paper

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