Title :
An efficient optimization technique for image restoration
Author_Institution :
Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD, USA
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;
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.688367
