A general multichannel image restoration method using compound models. Molina, R., Mateos, J., Katsaggelos, A., & Vega, M. In Object recognition supported by user interaction for service robots, volume 3, pages 835–838, 2002. IEEE Comput. Soc.
A general multichannel image restoration method using compound models [link]Paper  doi  abstract   bibtex   
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. © 2002 IEEE.
@inproceedings{Rafael2002,
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. {\textcopyright} 2002 IEEE.},
author = {Molina, Rafael and Mateos, Javier and Katsaggelos, A.K. and Vega, Miguel},
booktitle = {Object recognition supported by user interaction for service robots},
doi = {10.1109/ICPR.2002.1048153},
isbn = {0-7695-1695-X},
issn = {10514651},
number = {3},
pages = {835--838},
publisher = {IEEE Comput. Soc},
title = {{A general multichannel image restoration method using compound models}},
url = {http://ieeexplore.ieee.org/document/1048153/},
volume = {3},
year = {2002}
}

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