A dictionary learning approach for Poisson image Deblurring

IEEE Transactions on Medical Imaging

Volumn 32, Issue 7, 2013, Pages 1277-1289

  Ma, Liyan ^a   Moisan, Lionel ^b   Yu, Jian ^a   Zeng, Tieyong ^c  

^a BEIJING JIAOTONG UNIVERSITY   (China)

^b UNIVERSITÉ PARIS DESCARTES   (France)

^c HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

Author keywords

Deblurring; dictionary learning; patch based approach; Poisson noise; total variation

Indexed keywords

DEBLURRING; DICTIONARY LEARNING; PATCH-BASED APPROACH; POISSON NOISE; TOTAL VARIATION;

IMAGE DENOISING; MEDICAL IMAGING;

IMAGE ENHANCEMENT;

ARTICLE; CONTROLLED STUDY; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; IMAGE QUALITY; LEARNING ALGORITHM; MACHINE LEARNING; MATHEMATICAL PARAMETERS; NOISE; POISSON DISTRIBUTION; STATISTICS;

ALGORITHMS; ANIMALS; ANKLE; HEAD; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INTESTINES; MAGNETIC RESONANCE IMAGING; MICE; MICROSCOPY, FLUORESCENCE; POISSON DISTRIBUTION; SIGNAL-TO-NOISE RATIO;

EID: 84880199209     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2013.2255883     Document Type: Article

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