Image deconvolution using a stochastic differential equation approach

Abstract

ABSTRACT We consider the problem of image deconvolution. We foccus on a Bayesian approach which consists of maximizing an energy obtained by a Markov Random Field modeling. MRFs are classically optimized by a MCMC sampler embedded into a simulated annealing scheme. In a previous work, we have shown that, in the context of image denoising, a diffusion… (More)

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Cite this paper

@inproceedings{Descombes2007ImageDU, title={Image deconvolution using a stochastic differential equation approach}, author={Xavier Descombes and M. Lebellego and Elena A. Zhizhina}, booktitle={VISAPP}, year={2007} }