Unsupervised, information-theoretic, adaptive image filtering for image restoration

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 28, Issue 3, 2006, Pages 364-376

  Awate, Suyash P ^a   Whitaker, Ross T ^a  

^a Department of Electrical and Computer Engineering   (United States)

Author keywords

Filtering; Information theory; Nonparametric statistics; Restoration

Indexed keywords

ADAPTIVE FILTERING; APPROXIMATION THEORY; COMPUTER VISION; ENTROPY; ESTIMATION; INFORMATION THEORY; MATHEMATICAL MODELS; SIGNAL PROCESSING; STATISTICAL METHODS;

ADAPTIVE IMAGE FILTERING; NEIGHBORHOOD ENTROPY; NONPARAMETRIC MULTIVARIATE DENTSITY; NONPARAMETRIC STATISTICS;

IMAGE RECONSTRUCTION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER GRAPHICS; EVALUATION; HUMAN; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; MATHEMATICAL COMPUTING; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER GRAPHICS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 31544453901     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2006.64     Document Type: Article

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