DocumentCode
384207
Title
A general multichannel image restoration method using compound models
Author
Molina, Rafael ; Mateos, Javier ; Katsaggelos, Aggelos K. ; Vega, Miguel
Author_Institution
Dept. de Ciencias de la Comput. e Inteligencia Artificial, Granada Univ., Spain
Volume
3
fYear
2002
fDate
2002
Firstpage
835
Abstract
In this paper we present a multichannel image restoration method using compound Gauss Markov random field (CGMRF) models. Information regarding the objects present in the scene is shared via the line process in the CGMRF. Two new iterative algorithms to estimate the underlying multichannel image are presented, which can be considered as extensions of the classical simulated annealing and ICM methods. Experimental results demonstrate the effectiveness of the proposed approach.
Keywords
Markov processes; image restoration; iterative methods; random processes; compound Gauss Markov random field models; iterative algorithms; line process; multichannel image restoration method; objects; simulated annealing; Bayesian methods; Degradation; Frequency; Gaussian processes; Image edge detection; Image restoration; Iterative algorithms; Layout; Markov random fields; Simulated annealing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-1695-X
Type
conf
DOI
10.1109/ICPR.2002.1048153
Filename
1048153
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