Referenced Items are not available for this document.
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.
Published in:
Pattern Recognition, 2002. Proceedings. 16th International Conference on
(Volume:3
)
Date of Conference: 2002
- Page(s):
- 835 - 838 vol.3
- ISSN :
- 1051-4651
- Print ISBN:
- 0-7695-1695-X
- INSPEC Accession Number:
- 7462238
- Digital Object Identifier :
- 10.1109/ICPR.2002.1048153
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
