Sparse Support Regression for Image Super-Resolution

IEEE Photonics Journal

Volumn 7, Issue 5, 2015, Pages

  Jiang, Junjun ^a   Ma, Xiang ^b   Cai, Zhihua ^a   Hu, Ruimin ^c  

^a CHINA UNIVERSITY OF GEOSCIENCES   (China)

^b CHANG'AN UNIVERSITY   (China)

^c WUHAN UNIVERSITY   (China)

Author keywords

Manifold Learning; Optical Imaging System; Sparse Representation; Super Resolution

Indexed keywords

IMAGING SYSTEMS; IMAGING TECHNIQUES; METALS; MOS DEVICES; OPTICAL IMAGE STORAGE; OPTICAL RESOLVING POWER; OXIDE SEMICONDUCTORS; REGRESSION ANALYSIS;

COMPLEMENTARY METAL-OXIDE-SEMICONDUCTOR SENSOR (CMOS); GEOMETRICAL STRUCTURE; IMAGE SUPER RESOLUTIONS; MANIFOLD LEARNING; OPTICAL IMAGING SYSTEM; PERCEPTUAL IMAGE QUALITY; SPARSE REPRESENTATION; SUPER RESOLUTION;

IMAGE RESOLUTION;

EID: 84959020798     PISSN: 19430655     EISSN: None     Source Type: Journal    
DOI: 10.1109/JPHOT.2015.2484287     Document Type: Article

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