DocumentCode :
285742
Title :
Robust image restoration algorithm using Markov random field model
Author :
Bhatt, M.R. ; Desai, U.B.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., Bombay, India
Volume :
5
fYear :
1992
fDate :
10-13 May 1992
Firstpage :
2473
Abstract :
A new technique is proposed for Bayesian image restoration of a gray level image blurred by an erroneous point spread function and corrupted by white Gaussian noise. The proposed technique is based on the Markov random field model. It has an ability to restore discontinuities. The problem formulation is discussed. The minimization algorithm based on simulated annealing is given. Some simulation results are presented
Keywords :
Bayes methods; Markov processes; image reconstruction; simulated annealing; white noise; Bayesian image restoration; Markov random field model; discontinuities; gray level image; minimization algorithm; point spread function; simulated annealing; white Gaussian noise; Additive noise; Bayesian methods; Degradation; Gaussian noise; Image restoration; Markov random fields; Robustness; Signal processing algorithms; Signal restoration; Stochastic resonance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0593-0
Type :
conf
DOI :
10.1109/ISCAS.1992.230485
Filename :
230485
Link To Document :
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