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Extending AMIRAL's blind deconvolution of Adaptive Optics corrected images with Markov chain Monte Carlo methods
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 noi
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