Semi-blind image restoration via Mumford-Shah regularization

IEEE Transactions on Image Processing

Volumn 15, Issue 2, 2006, Pages 483-493

  Bar, Leah ^a   Sochen, Nir ^a   Kiryati, Nahum ^a  

^a TEL AVIV UNIVERSITY   (Israel)

Author keywords

Blind deconvolution; Mumford Shah segmentation; Variational image restoration

Indexed keywords

APPROXIMATION THEORY; BLIND SOURCE SEPARATION; CONVERGENCE OF NUMERICAL METHODS; IMAGE SEGMENTATION; ITERATIVE METHODS; OPTIMIZATION; VARIATIONAL TECHNIQUES;

BLIND DECONVOLUTION; MUMFORD-SHAH SEGMENTATION; VARIATIONAL IMAGE RESTORATION;

IMAGE RECONSTRUCTION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; METHODOLOGY; SIGNAL PROCESSING; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE;

EID: 31144459533     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2005.863120     Document Type: Article

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