loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
16th International Conference on Pattern Recognition (ICPR'02) - Volume 3
A General Multichannel Image Restoration Method Using Compound Models
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
Rafael Molina, Universidad de Granada
Javier Mateos, Universidad de Granada
Aggelos K. Katsaggelos, Northwestern University
Miguel Vega, Universidad de Granada,
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.
Citation:
Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos, Miguel Vega, "A General Multichannel Image Restoration Method Using Compound Models," icpr, vol. 3, pp.30835, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002
Usage of this product signifies your acceptance of the Terms of Use.