Using spatial models as priors in astronomical image analysis

Abstract

Optical astronomers now normally collect digital images by means of CCD detectors, which are blurred by atmospheric motion and distorted by physical noise in the detection process. We examine Bayesian procedures to clean such images using explicit models from spatial statistics for the underlying structure, and compare these methods with those based on maximum entropy.