Blind Bayesian restoration of adaptive optics telescope images using generalized Gaussian Markov random field models

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3353, Issue , 1998, Pages 1006-1013

  Jeffs, Brian D ^a   Christou, Julian C ^b  

^a Department of Electrical and Computer Engineering   (United States)

^b AIR FORCE RESEARCH LABORATORY   (United States)

Author keywords

Adaptive optics; Bayesian image restoration; Blind image restoration

Indexed keywords

ADAPTIVE OPTICS; ARCTIC ENGINEERING; BAYESIAN NETWORKS; CONVOLUTION; DECONVOLUTION; GAUSSIAN NOISE (ELECTRONIC); HIDDEN MARKOV MODELS; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; OPTICAL SYSTEMS; PHOTOLITHOGRAPHY; PROBABILITY DENSITY FUNCTION; RESTORATION; SPACECRAFT OBSERVATORIES; TRELLIS CODES; ALGORITHMS; GEOMETRY; IMAGE ENHANCEMENT; MARKOV PROCESSES; MATHEMATICAL MODELS; OPTICAL TELESCOPES; OPTIMIZATION;

ALGORITHM PERFORMANCE; BAYESIAN IMAGE RESTORATION; BAYESIAN RESTORATIONS; BLIND IMAGE RESTORATION; BLIND RESTORATIONS; CENTRAL CORES; COMPUTATIONAL ALGORITHMS; DECONVOLUTION PROBLEMS; GENERALIZED GAUSSIAN MARKOV RANDOM FIELDS; GEOMETRIC STRUCTURES; MAXIMUM A-POSTERIORI; POST-PROCESSING; PRIOR INFORMATIONS; PRIOR KNOWLEDGE; PROBABILITY DENSITIES; PROBLEM FORMULATIONS; RESOLUTION ENHANCEMENTS; SHARP EDGES; SPACE OBJECTS; GENERALIZED GAUSSIAN MARKOV RANDOM FIELD;

EDGE DETECTION; ADAPTIVE OPTICS;

EID: 0032266812     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.321721     Document Type: Conference Paper

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