Restoration of severely blurred high range images using compound models. Molina, R., Katsaggelos, A., Mateos, J., & Abad, J. In Proceedings of 3rd IEEE International Conference on Image Processing, volume 1, pages 469–472, 1996. IEEE.
Restoration of severely blurred high range images using compound models [link]Paper  doi  abstract   bibtex   
In this paper we examine the use of compound Gauss Markov random fields (CGMRF) to restore severely blurred high range images. For this deblurring problem, the convergence of the Simulated Annealing (SA) and Iterative Conditional Mode (ICM) algorithms has not been established. We propose two new iterative restoration algorithms which extend the classical SA and ICM approaches. Their convergence is established and they are tested on real and synthetic images.
@inproceedings{Rafael1996,
abstract = {In this paper we examine the use of compound Gauss Markov random fields (CGMRF) to restore severely blurred high range images. For this deblurring problem, the convergence of the Simulated Annealing (SA) and Iterative Conditional Mode (ICM) algorithms has not been established. We propose two new iterative restoration algorithms which extend the classical SA and ICM approaches. Their convergence is established and they are tested on real and synthetic images.},
author = {Molina, R. and Katsaggelos, A.K. and Mateos, J. and Abad, J.},
booktitle = {Proceedings of 3rd IEEE International Conference on Image Processing},
doi = {10.1109/ICIP.1996.560889},
isbn = {0-7803-3259-8},
pages = {469--472},
publisher = {IEEE},
title = {{Restoration of severely blurred high range images using compound models}},
url = {http://ieeexplore.ieee.org/document/560889/},
volume = {1},
year = {1996}
}

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