In this paper, we develop a multichannel image restoration algorithm using Compound Gauss Markov Random Fields (CGMRF) models. The line process in the CGMRF will allow the channels to share important information regarding the objects present in the scene. In order to estimate the underlying multichannel image two new iterative algorithms are presented, whose convergence is established. They can be considered as extensions of the classical simulated annealing and iterative conditional methods. Experimental results with color images demonstrate the effectiveness of the proposed approaches.
- Compound Gauss-Markov random fields
- Iterative conditional mode
- Multichannel image restoration
- Simulated annealing
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design