Bayesian Restoration of Digital Images Employing Markov Chain Monte Carlo a Review

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A review of Bayesian restoration of digital images based on Monte Carlo techniques is presented. The topics covered include Likelihood, Prior and Posterior distributions, Poisson, Binay symmetric channel, and Gaussian channel models of Likelihood distribution,Ising and Potts spin models of Prior distribution, restoration of an image through Posterior maximization, statistical estimation of a true image from Posterior ensembles, Markov Chain Monte Carlo methods and cluster algorithms.
42 pages; 16 figures; revised version with several typos removed and mistakes in equations corrected

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Computer Vision and Pattern Recognition, Statistical Mechanics, Computational Physics

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http://salesiana.dossiersoluciones.com/handle/123456789/100630

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cs/0504037
 http://arxiv.org/abs/cs/0504037

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arXiv