Marginalized myopic deconvolution of adaptive optics corrected images using Markov chain Monte Carlo methods
Alix Yan,
Laurent M. Mugnier,
Jean-François Giovannelli
et al.
Abstract:.Adaptive optics (AO) corrected image restoration is particularly difficult, as it suffers from the lack of knowledge on the point spread function (PSF) in addition to usual difficulties. An efficient approach is to marginalize the object out of the problem and to estimate the PSF and (object and noise) hyperparameters only, before deconvolving the image using these estimates. Recent works have applied this marginal myopic deconvolution method, based on the maximum a posteriori estimator, combined with a param… Show more
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