Bayesian deconvolution in optical astronomy

In this work we use Bayesian methods and spatial stochastic processes in the deconvolution of images of galaxies. Under very simple but realistic prior assumptions about the true underlying image of a galaxy the Bayesian framework is put to work. The method is tested in CCD images of extragalactic objects of different morphological types and an analysis of the deconvolutions obtained is performed emphasizing the comparison with other observational results.