Synchronous image restoration
Conference paper
First Online:
Abstract
We analyse a class of random fields invariant by stochastic synchronous updating of all sites, subject to a generalized reversibility assumption. We give a formal definition and properties of the model, study the problem of posterior simulation, parameter estimation, and then present experimental results in image restoration.
Keywords
Random Field Marginal Distribution Image Restoration Vertical Edge Horizontal Edge
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Download
to read the full conference paper text
References
- J. Besag (1974): Spatial Interaction and the Statistical Analysis of Lattice Systems. J. of Roy. Stat. Soc. B-36 pp 192–236.Google Scholar
- D.A. Dawson (1975): Synchronous and asynchronous reversible Markov systems Canad. Math. Bull. 17 633–649.Google Scholar
- D. Geman (1991):Random Fields and Inverse Problems in Imaging, In Proceedings of the Ecole d'été de Saint-Flour, Lecture Notes in Mathematics, Springer Verlag, New York.Google Scholar
- D. Geman and S. Geman (1984): Stochastic Relaxation, Gibbs Distribution and Bayesian Restoration of Images IEEE TPAMI. Vol PAMI-6 pp 721–741.Google Scholar
- O. Koslov and N. Vasilyev (1980): Reversible Markov chains with local interactions. In Multicomponent Random Systems, R.L. Dobrushin and Ya. G. Sinai Editors. (Dekker New York). 415–469.Google Scholar
- L. Younes (1993): Synchronous Random Fields and Image restoration (preprint).Google Scholar
Copyright information
© Springer-Verlag Berlin Heidelberg 1994