Fully Bayesian image separation using Markov chain Monte Carlo


Kayabol K., Kuruoglu E. E. , Sankur B.

IEEE 15th Signal Processing and Communications Applications Conference, Eskişehir, Turkey, 11 - 13 June 2007, pp.969-970 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2007.4298718
  • City: Eskişehir
  • Country: Turkey
  • Page Numbers: pp.969-970

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.