Multichannel image restoration using compound Gauss-Markov random fields
- 7 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1 (15206149) , 141-144
- https://doi.org/10.1109/icassp.2000.861892
Abstract
A solution to the multichannel image restoration problem is provided using compound Gauss-Markov random fields. For the single channel deblurring problem the convergence of the simulated annealing (SA) and iterative conditional mode (ICM) algorithms has not been established. We propose two new iterative multichannel restoration algorithms which can be considered as extensions of the classical SA and ICM approaches and whose convergence is established. Experimental results with color images demonstrate the effectiveness of the proposed algorithms.Keywords
This publication has 5 references indexed in Scilit:
- Multichannel image restoration in astronomyVistas in Astronomy, 1997
- Least squares restoration of multichannel imagesIEEE Transactions on Signal Processing, 1991
- Simulated annealing in compound Gaussian random fields (image processing)IEEE Transactions on Information Theory, 1990
- Digital restoration of multichannel imagesIEEE Transactions on Acoustics, Speech, and Signal Processing, 1989
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of ImagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1984