Restoration of severely blurred high range images using stochastic and deterministic relaxation algorithms in compound Gauss-Markov random fields

Pattern Recognition

Volumn 33, Issue 4, 2000, Pages 555-571

  Molina, Rafael ^a   Katsaggelos, Aggelos K ^b   Mateos, Javier ^a   Hermoso, Aurora ^a   Segall, C Andrew ^b,c  

^a UNIVERSITY OF GRANADA   (Spain)

^b Northwestern University   (United States)

^c NORTHWESTERN UNIVERSITY   (United States)

Author keywords

Compound Gauss Markov random fields; Image restoration; Iterative conditional mode; Simulated annealing

Indexed keywords

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; IMAGE ANALYSIS; IMAGE QUALITY; IMAGE SEGMENTATION; ITERATIVE METHODS; MARKOV PROCESSES; MATHEMATICAL MODELS; SIMULATED ANNEALING;

COMPOUND GAUSS-MARKOV RANDOM FIELDS (CGMRF); ITERATIVE CONDITIONAL MODE (ICM) ALGORITHMS;

IMAGE RECONSTRUCTION;

EID: 0033908648     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(99)00072-2     Document Type: Article

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