Open AccessMarginal blind deconvolution of adaptive-optics corrected images of satellites
Author(s) -
Roberto Baena-Gallé,
Laurent M. Mugnier,
Szymon Gładysz
Publication year - 2016
Publication title -
imaging and applied optics
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1364/aoms.2016.aot2c.4
Subject(s) - deconvolution , blind deconvolution , adaptive optics , computer science , computer vision , artificial intelligence , optical imaging , optics , object (grammar) , remote sensing , algorithm , physics , geology
Conventional blind deconvolution estimates jointly the PSF and the object being imaged, and therefore it is subject to degeneracies. Instead, we use a marginalized approach which has good statistical properties. We show results on AO-corrected observations of satellites. The method will be extended to anisoplanatic imaging
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