A segmentation-based regularization term for image deconvolution

IEEE Transactions on Image Processing

Volumn 15, Issue 7, 2006, Pages 1973-1984

  Mignotte, Max ^a  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

Author keywords

Adaptive prior model; Bayesian estimation; Image deconvolution or restoration; Image segmentation; Markovian model; Tikhonov regularization

Indexed keywords

CONVOLUTION; GAUSSIAN NOISE (ELECTRONIC); IMAGE RECONSTRUCTION; ITERATIVE METHODS; MARKOV PROCESSES; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; STATISTICAL METHODS;

ADAPTIVE PRIOR MODEL; IMAGE DECONVOLUTION; MARKOVIAN MODEL; TIKHONOV REGULARIZATION;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; PROBABILITY; REGRESSION ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MARKOV CHAINS; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33745633093     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2006.873446     Document Type: Article

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