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
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;
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
Print_ISBN :
0-7695-1695-X
DOI :
10.1109/ICPR.2002.1048153
