Abstract
In this paper we propose an identification and restoration algorithm for image degraded by noise as well as blurring. In our proposed method, the original images are modeled as Markov Random Fields(MRF) and the blurred image is presented by the gaussian blurred model. To estimate the parameters involved in the image model and to restore the degraded images, we use Generalized Maximum Likelihood(GML) estimation. The GML consists of the two procedures which is a Maximum Likelihood(ML) estimation and a Maximum A Posteriori(MAP) estimation. These procedures are implemented by using the Expectation-Maximization(EM) algorithm and mean field annealing(MFA) based on the mean field theory.
