Sparse representation based MRI denoising with total variation

International Conference on Signal Processing Proceedings, ICSP

Volumn , Issue , 2008, Pages 2154-2157

  Bao, Lijun ^a   Liu, Wanyu ^a,b   Zhu, Yuemin ^a,b   Pu, Zhaobang ^a   Magnin, Isabelle E ^a,b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b UNIVERSITÉ DE LYON   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CORRUPTED IMAGES; DE-NOISING; DIFFUSION TENSOR MAGNETIC RESONANCE IMAGING; DIFFUSION WEIGHTED IMAGES; EDGE PRESERVATIONS; EXTRACTING FEATURES; FINE STRUCTURES; MR IMAGES; NOISE MODELS; NOISE REMOVAL; NOVEL METHODS; SEPARATED REGION; SPARSE REPRESENTATION; TOTAL VARIATION; TOTAL VARIATION REGULARIZATION; UNIFORM INTENSITY;

FEATURE EXTRACTION; KNOWLEDGE REPRESENTATION; MAGNETIC RESONANCE IMAGING; SIGNAL PROCESSING; TENSORS;

IMAGE PROCESSING;

EID: 67249155276     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICOSP.2008.4697573     Document Type: Conference Paper

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