7 August 2014 Image restoration with spatially variable PSF
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Abstract
We present a method for the restoration of astronomical images obtained with Adaptive Optics (AO) systems. In order to maximize the scientific return from AO data and, in general, from the data of the next generation telescopes, we developed a restoration method based on deconvolution for the de-blurring of images degraded by a spatially variable PSF. The deconvolution method is based on a partition of the image domain in partially overlapping sub-domains where the PSF can be assumed to be space invariant. The software, called Patch, is written in IDL language and is freely distributed to the community. Here we report a general description of the method and of its graphical interface. The potentiality of the Software Patch have been tested on two completely different astrophysical scenarios: a crowded stellar field and an extended galaxy. Despite the very conservative assumptions made on the Point Spread Function (assumed to be strongly variable across the field of view), we obtained good results in terms of image reconstruction both for the stellar (point-like) case and for the extended galaxy.
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Paolo Ciliegi, Paolo Ciliegi, Andrea La Camera, Andrea La Camera, Laura Schreiber, Laura Schreiber, Michele Bellazzini, Michele Bellazzini, Mario Bertero, Mario Bertero, Patrizia Boccacci, Patrizia Boccacci, Emiliano Diolaiti, Emiliano Diolaiti, Italo Foppiani, Italo Foppiani, Matteo Lombini, Matteo Lombini, Davide Massari, Davide Massari, Paolo Montegriffo, Paolo Montegriffo, Margherita Talia, Margherita Talia, } "Image restoration with spatially variable PSF", Proc. SPIE 9148, Adaptive Optics Systems IV, 91482O (7 August 2014); doi: 10.1117/12.2055914; https://doi.org/10.1117/12.2055914
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