Robust image restoration algorithm using Markov random field model

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.<
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