Bayesian deconvolution with prior knowledge of object location : applications to ground-based planetary images

A Bayesian method to deconvolve images when the location of the objects in the image is known in advance is presented. This knowledge of location is incorporated into the prior model via a labeling process. An iterative method is proposed to find the maximum a posteriori estimator of the image. The method was tested on both synthetic images and ground-based CCD images of Saturn with very encouraging results