A computational reinforced learning scheme to blind image deconvolution

IEEE Transactions on Evolutionary Computation

Volumn 6, Issue 1, 2002, Pages 2-15

  Yap, Kim Hui ^a,b   Guan, Ling ^a,b,c  

^a IEEE   (Australia)

^b UNIVERSITY OF SYDNEY   (Australia)

^c RYERSON UNIVERSITY   (Canada)

Author keywords

Blind image deconvolution; Computational reinforced learning; Evolutionary optimization

Indexed keywords

BLIND IMAGE DECONVOLUTION; BLUR IDENTIFICATION; COMPUTATIONAL REINFORCED LEARNING; DYNAMIC ATTRACTOR SPACE; EVOLUTIONARY OPTIMIZATION; KNOWLEDGE BASED REINFORCED MUTATION; MAXIMUM A POSTERIORI ESTIMATOR;

COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; CONSTRAINT THEORY; CONVERGENCE OF NUMERICAL METHODS; IMAGE RECONSTRUCTION; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; MAXIMUM LIKELIHOOD ESTIMATION; NEURAL NETWORKS; OPTIMIZATION; PATTERN RECOGNITION; RANDOM PROCESSES;

EVOLUTIONARY ALGORITHMS;

EID: 0036464963     PISSN: 1089778X     EISSN: None     Source Type: Journal    
DOI: 10.1109/4235.985688     Document Type: Article

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