Title :
Fully Bayesian Image Separation using Markov Chain Monte Carlo
Author :
Koray Kayabol;Ercan E. Kuruoglu;Bulent Sankur
Author_Institution :
?stanbul ?niversitesi, M?hendislik Fak?ltesi, Elektrik-Elektronik M?hendisli?i B?l?m?, 34320, Avcilar, ?stanbul. kayabol@istanbul.edu.tr
fDate :
6/1/2007 12:00:00 AM
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.
Keywords :
"Bayesian methods","Monte Carlo methods","Gaussian processes","Working environment noise","Stochastic processes"
Conference_Titel :
Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
Print_ISBN :
1-4244-0719-2
DOI :
10.1109/SIU.2007.4298718
