The estimated image is design as the mean of a posterior probability law (Bayesian analysis). The mean is defined as a sum over all the possible image weighted by their respective probability. Given the size of the problem, the exact sum is not tractable. The use of MCMC allow instead to draw image under the posterior law. The practical idea is to consider low probable image useless. Finally the mean of these samples give us an estimation of the mean.