Fully Bayesian Image Separation using Markov Chain Monte Carlo
Koray Kayabol, Erçan E. Kuruoğlu, Bülent Sankur · 2007
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.