Grouped coordinate descent algorithms for robust edge-preserving image restoration

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3170, Issue , 1997, Pages 184-194

  Fessler, Jeffrey A ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Bayesian methods; Deconvolution; Image restoration; Non Gaussian noise

Indexed keywords

BAYESIAN METHODS; CONVERGENCE RATES; CONVEX OBJECTIVES; COORDINATE DESCENTS; EDGE-PRESERVING; GAUSSIAN NOISES; GLOBAL MINIMUMS; IMAGE RESTORATION; LINE SEARCHES; MONOTONICALLY; NEIGHBORHOOD STRUCTURES; NEW CLASSES; NON-GAUSSIAN NOISE; NONNEGATIVITY CONSTRAINTS; OBJECTIVE FUNCTIONS; PIECE WISES;

BAYESIAN NETWORKS; CONVOLUTION; FUNCTIONS; GAUSSIAN NOISE (ELECTRONIC); IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE RECONSTRUCTION; MATLAB; PROBABILITY DENSITY FUNCTION; REPAIR; RESTORATION; TRELLIS CODES;

EDGE DETECTION;

EID: 0002919496     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.279713     Document Type: Conference Paper

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