Single-image super-resolution based on Markov random field and contourlet transform

Journal of Electronic Imaging

Volumn 20, Issue 2, 2011, Pages

  Wu, Wei ^a   Liu, Zheng ^b   Gueaieb, Wail ^b   He, Xiaohai ^a  

^a SICHUAN UNIVERSITY   (China)

^b UNIVERSITY OF OTTAWA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ADJACENT PIXELS; BELIEF PROPAGATION ALGORITHM; CONTOURLET TRANSFORM; HIGH FREQUENCY COMPONENTS; HIGH FREQUENCY HF; HIGH RESOLUTION IMAGE; IMAGE FEATURES; IMAGE PATCHES; IMAGE SUPER-RESOLUTION; LEARNING-BASED APPROACH; LEARNING-BASED METHODS; LOW RESOLUTION IMAGES; MARKOV RANDOM FIELD MODELS; MARKOV RANDOM FIELDS; PEAK SIGNAL TO NOISE RATIO; REAL SCENES; STRUCTURAL SIMILARITY; SUPER RESOLUTION; TRAINING SETS; VISUAL QUALITIES;

ALGORITHMS; OPTICAL RESOLVING POWER; SIGNAL TO NOISE RATIO;

WAVELET TRANSFORMS;

EID: 80055115278     PISSN: 10179909     EISSN: 1560229X     Source Type: Journal    
DOI: 10.1117/1.3580750     Document Type: Article

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