Medical image denoising using low pass filtering in sparse domain

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2012, Pages 114-117

  Abhari, Kaveh ^a   Marsousi, Mahdi ^a   Babyn, Paul ^b   Alirezaie, Javad ^a  

^a RYERSON UNIVERSITY   (Canada)

^b UNIVERSITY OF SASKATCHEWAN   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BLOCKING ARTIFACTS; COMPUTED TOMOGRAPHY; DENOISING APPROACH; HIGHER FREQUENCIES; IMAGE NOISE; INNOVATIVE METHOD; LOW DOSE; LOW-PASS FILTERING; OPTIMIZATION PROBLEMS; OVER-COMPLETE; PEAK SIGNAL TO NOISE RATIO; PHASE INFORMATION; SPARSE CODING; SPARSE REPRESENTATION; WEIGHT MATRICES;

COMPUTERIZED TOMOGRAPHY; DISCRETE COSINE TRANSFORMS; IMAGE CODING; IMAGE DENOISING;

LOW PASS FILTERS;

ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; IMAGE QUALITY; METHODOLOGY; SIGNAL NOISE RATIO; THEORETICAL MODEL;

HUMANS; MODELS, THEORETICAL; RADIOGRAPHIC IMAGE ENHANCEMENT; SIGNAL-TO-NOISE RATIO; TOMOGRAPHY, X-RAY COMPUTED;

MLCS; MLOWN;

EID: 84881050267     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6345884     Document Type: Conference Paper

References (7)

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