Bayesian prior for reconstruction of compressively sampled astronomical images

This paper presents an original reconstruction procedure for compressively sampled astronomical images. The procedure stems from adoption of a Bayesian prior on the original astronomical image. Simulation results show that the Bayesian prior enhances the iterative greedy support estimation procedure usually adopted in the literature leading to improved convergence performance and reconstruction accuracy.