Title :
Restoration of severely blurred high range images using compound models
Author :
Molina, R. ; Katsaggelos, K.A. ; Mateos, J. ; Abad, J.
Author_Institution :
Dept. de Ciencias de la Comput. e Inteligencia Artificial, Granada Univ., Spain
Abstract :
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
Keywords :
Gaussian processes; Markov processes; convergence of numerical methods; image restoration; iterative methods; random processes; simulated annealing; MAP estimation; algorithm convergence; compound Gauss Markov random fields; compound models; deblurring problem; image restoration; iterative conditional mode algorithm; iterative restoration algorithms; real images; severely blurred high range images; simulated annealing algorithm; synthetic images; Computational modeling; Gaussian processes; Image converters; Image restoration; Iterative algorithms; Iterative methods; Markov random fields; Pixel; Simulated annealing; Testing;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.560889
