A Generalized Gauss Markov Model for Space Objects in Blind Restoration of Adaptive Optics Telescope Images
نویسندگان
چکیده
This paper introduces a blind method based on Bayesian maximum a posteriori estimation theory for restoring images corrupted by noise and blurred by one or more unknown point spread functions. Image and blur prior information is expressed in the form of parametric generalized Gauss Markov random field models. A method for estimating the GGMRF neighborhood influence parameters is presented, along with examples of blind restoration to reduce residual blur in adaptive optics telescope images of space objects.
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