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

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dc.creatorMurthy, K. P. N.
dc.creatorJanani, M.
dc.creatorPriya, B. Shenbga
dc.date2005-04-11
dc.date2006-10-31
dc.date.accessioned2026-07-07T06:38:08Z
dc.date.available2026-07-07T06:38:08Z
dc.descriptionA 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.
dc.description42 pages; 16 figures; revised version with several typos removed and mistakes in equations corrected
dc.identifierhttps://arxiv.org/abs/cs/0504037
dc.identifierhttp://arxiv.org/abs/cs/0504037
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/100630
dc.subjectComputer Vision and Pattern Recognition
dc.subjectStatistical Mechanics
dc.subjectComputational Physics
dc.titleBayesian Restoration of Digital Images Employing Markov Chain Monte Carlo a Review
dc.typetext

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