Image restoration with spatially variable PSF

Paolo Ciliegi; Andrea La Camera; Laura Schreiber; Michele Bellazzini; Mario Bertero; Patrizia Boccacci; Emiliano Diolaiti; Italo Foppiani; Matteo Lombini; Davide Massari; Paolo Montegriffo; Margherita Talia

doi:10.1117/12.2055914

Translator Disclaimer

7 August 2014 Image restoration with spatially variable PSF

Paolo Ciliegi, Andrea La Camera, Laura Schreiber, Michele Bellazzini, Mario Bertero, Patrizia Boccacci, Emiliano Diolaiti, Italo Foppiani, Matteo Lombini, Davide Massari, Paolo Montegriffo, Margherita Talia

Author Affiliations +

Proceedings Volume 9148, Adaptive Optics Systems IV; 91482O (2014) https://doi.org/10.1117/12.2055914
Event: SPIE Astronomical Telescopes + Instrumentation, 2014, Montréal, Quebec, Canada

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.

Citation Download Citation

Paolo Ciliegi, Andrea La Camera, Laura Schreiber, Michele Bellazzini, Mario Bertero, Patrizia Boccacci, Emiliano Diolaiti, Italo Foppiani, Matteo Lombini, Davide Massari, Paolo Montegriffo, and Margherita Talia "Image restoration with spatially variable PSF", Proc. SPIE 9148, Adaptive Optics Systems IV, 91482O (7 August 2014); https://doi.org/10.1117/12.2055914

ACCESS THE FULL ARTICLE