DocumentCode
2995711
Title
An efficient optimization technique for image restoration
Author
Maryak, John L.
Author_Institution
Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD, USA
Volume
5
fYear
1998
fDate
21-26 Jun 1998
Firstpage
2812
Abstract
The Gibbs sampler of Geman and Geman (1984) is a standard technique for image restoration. We implemented a similar estimation technique based on a new optimization method, called simultaneous perturbation stochastic approximation. Preliminary tests of our results show comparable performance to the Gibbs sampler but with faster running times
Keywords
Markov processes; approximation theory; image restoration; optimisation; Gibbs sampler; Markov randon field; image restoration; optimization; simulated annealing; simultaneous perturbation stochastic approximation; Annealing; Bayesian methods; Degradation; Image processing; Image restoration; Image sampling; Nonlinear distortion; Optimization methods; Pixel; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1998. Proceedings of the 1998
Conference_Location
Philadelphia, PA
ISSN
0743-1619
Print_ISBN
0-7803-4530-4
Type
conf
DOI
10.1109/ACC.1998.688367
Filename
688367
Link To Document