DocumentCode
419434
Title
Probabilistic image processing based on the Q-Ising model by means of the mean-field method and loopy belief propagation
Author
Tanaka, Kazuyuki ; Titterington, D.M.
Author_Institution
Graduate Sch. of Information Sci., Tohoku Univ., Sendai, Japan
Volume
2
fYear
2004
fDate
23-26 Aug. 2004
Firstpage
40
Abstract
The framework is presented of Bayesian image restoration for multi-valued images by means of the Q-Ising model. Hyper parameters in the probabilistic model are determined so as to maximize the marginal likelihood. Practical algorithms are described based the conventional mean-field approximation and loopy belief propagation. We compare the results empirically with those provided by conventional filters and the new methods are found to be superior.
Keywords
Ising model; belief networks; image restoration; probability; Bayesian image restoration; Q-Ising model; loopy belief propagation; marginal likelihood; mean-field method; multivalued images; probabilistic image processing; Approximation algorithms; Bayesian methods; Belief propagation; Degradation; Filters; Image processing; Image restoration; Pixel; Statistical analysis; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-2128-2
Type
conf
DOI
10.1109/ICPR.2004.1334012
Filename
1334012
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