Nonlocal regularization of inverse problems: A unified variational framework

IEEE Transactions on Image Processing

Volumn 22, Issue 8, 2013, Pages 3192-3203

  Yang, Zhili ^a   Jacob, Mathews ^b  

^a University of Rochester   (United States)

^b IA United States   (United States)

Author keywords

Compressed sensing; inverse problems; nonconvex; nonlocal means

Indexed keywords

COMPRESSIVE SENSING; ENERGY MINIMIZATION; MAJORIZE-MINIMIZE ALGORITHMS; NON-LOCAL MEANS; NON-LOCAL REGULARIZATION; NONCONVEX; OPTIMIZATION PROBLEMS; VARIATIONAL FRAMEWORK;

ALGORITHMS; COMPRESSED SENSING; DIFFERENTIAL EQUATIONS; HEURISTIC METHODS; INVERSE PROBLEMS; SIGNAL RECONSTRUCTION;

ITERATIVE METHODS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; PROCEDURES;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84879041380     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2012.2216278     Document Type: Article

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