Abstract: Upon the theory of 13aycsian algorithm and image processing technique, this paper put forward Markov Chain Monte Carlo Methods, to process the images. The simulation results show that the I3ayesian-Markov Chain Monte Carlo Method fusion algorithm needs only Gibbs sampling 10% iterations and relatively simple j ump nuclear. I}his method has high efficiency and low implementation complexity.

Key words: Baycsian algorithm, Markov chain, Montc carlo methods, Image processing tcchniquc