1. A method for image processing, comprising: computing a result higher resolution (HR) image of a scene given a plurality of observed lower resolution (LR) images of the scene using a Bayesian estimation image reconstruction methodology, wherein the methodology yields the result HR image based on a Likelihood probability function that implements a model for the formation of LR images in the presence of noise, and wherein the methodology models the noise by a probabilistic, non-Gaussian, robust function.