Markov Zinciri Monte Carlo ile Tam Bayesçi Imge Ayrıstırma (Fully bayesian image separation using Markov chain Monte Carlo)
Contributo in Atti di convegno
Data di Pubblicazione:
2007
Abstract:
In this study, we investigate the image separation problem under noisy environments. In the definition of the problem, the Bayesian approach is considered. We present a fully stochastic method based on Markov chain Monte Carlo (MCMC), instead of other deterministic methods, used in Bayesian image separation.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Bayesian source separation; MCMC; Gibbs sampling; Markov random fields
Elenco autori:
Kuruoglu, ERCAN ENGIN
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