Super-resolution without dense flow

IEEE Transactions on Image Processing

Volumn 21, Issue 4, 2012, Pages 1782-1795

  Su, Heng ^a   Wu, Ying ^b   Zhou, Jie ^a  

^a TSINGHUA UNIVERSITY   (China)

^b Northwestern University   (United States)

Author keywords

Feature point correspondence; super resolution reconstruction; support region; total variation (TV) prior

Indexed keywords

ADAPTIVE SUPPORT; DENSE OPTICAL FLOW; FEATURE POINT CORRESPONDENCE; HIGH RESOLUTION IMAGE; INPUT IMAGE; LOCAL FLOW FIELD; MOTION FIELDS; OPTICAL FLOW ESTIMATION; POINT SET; SOFTWARE METHODS; SPARSE CORRESPONDENCE; SUPER RESOLUTION; SUPER RESOLUTION ALGORITHMS; SUPER-RESOLUTION RECONSTRUCTION; TOTAL VARIATION; VISUAL CONSISTENCY;

ALGORITHMS; MOTION ESTIMATION;

OPTICAL RESOLVING POWER;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; METHODOLOGY; PHOTOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; VIDEORECORDING;

ALGORITHMS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; PHOTOGRAPHY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; VIDEO RECORDING;

EID: 84859018196     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2011.2173204     Document Type: Article

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