Variational Bayesian blind deconvolution using a total variation prior

IEEE Transactions on Image Processing

Volumn 18, Issue 1, 2009, Pages 12-26

  Babacan, S Derin ^a   Molina, Rafael ^b   Katsaggelos, Aggelos K ^a  

^a Northwestern University   (United States)

^b UNIVERSITY OF GRANADA   (Spain)

Author keywords

Bayesian methods; Blind deconvolution; Parameter estimation; Total variation (TV); Variational methods

Indexed keywords

BAYESIAN NETWORKS; CONVOLUTION; METAL ANALYSIS; UNCERTAINTY ANALYSIS;

BAYESIAN METHODS; BAYESIAN MODELS; BLIND DECONVOLUTION; HYPER PARAMETERS; NOVEL ALGORITHMS; POSTERIOR DISTRIBUTIONS; TOTAL VARIATION (TV); VARIATIONAL BAYESIAN; VARIATIONAL FRAMEWORKS; VARIATIONAL INFERENCES; VARIATIONAL METHODS;

PARAMETER ESTIMATION;

ALGORITHM; ARTICLE; ARTIFACT; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ALGORITHMS; ARTIFACTS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 58049218859     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2008.2007354     Document Type: Article

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