Fast single image super-resolution via self-example learning and sparse representation

IEEE Transactions on Multimedia

Volumn 16, Issue 8, 2014, Pages 2178-2190

  Zhu, Zhiliang ^a   Guo, Fangda ^a   Yu, Hai ^a   Chen, Chen ^b  

^a Institute of Network Science and Big Data Technology   (China)

^b The University of Texas at Dallas   (United States)

Author keywords

Approximate K singular value decomposition; sample mean square error; self example; single image super resolution; sparse representation

Indexed keywords

APPROXIMATION ALGORITHMS; IMAGE MATCHING; LEARNING ALGORITHMS; MEAN SQUARE ERROR; OPTICAL RESOLVING POWER; SINGULAR VALUE DECOMPOSITION;

GLOBAL AND LOCAL INFORMATIONS; ORTHOGONAL MATCHING PURSUIT; SAMPLE MEANS; SELF-EXAMPLE; SINGLE IMAGES; SINGULAR VALUE DECOMPOSITION ALGORITHMS; SPARSE REPRESENTATION; SUPER-RESOLUTION RECONSTRUCTION;

COMPUTATIONAL EFFICIENCY;

EID: 84912029649     PISSN: 15209210     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMM.2014.2364976     Document Type: Article

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