10.20371/inaf/sw/2022_00002

• La Camera Andrea ORCID: 0000-0002-5123-1365 - Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei Sistemi (DIBRIS), Università di Genova
• Schreiber Laura ORCID: 0000-0002-6657-8054, INAF - OAS Bologna
• Diolaiti Emiliano ORCID: 0000-0002-3978-0695, INAF - OAS Bologna
• Boccacci Patrizia ORCID: 0000-0002-8402-6982, Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei Sistemi (DIBRIS), Università di Genova
• Bertero Mario ORCID: 0000-0002-3637-7729, Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei Sistemi (DIBRIS), Università di Genova
• Bellazzini Michel ORCID: 0000-0002-8200-810X, INAF - OAS Bologna
• Ciliwgi Paolo ORCID: 0000-0002-0447-4620, INAF - OAS Bologna

Software Patch implements a method based on sectioning approach in deconvolution of space-variant astronomical images. The starting point is a mosaic of PSFs, provided by the users, and the input image. The image is partitioned in non-overlapping regions such that each PSF can be considered space-invariant on them.
The subsequent step consists in applying a deconvolution method modified for taking into account correction of boundary effect. Both the well-known Richardson-Lucy and a fast method called Scaled Gradient Projection, SGP, are available.
Finally, the output object is obtained as a mosaic of the reconstructed regions.

A. La Camera, L. Schreiber, E. Diolaiti, P. Boccacci, M. Bertero, M. Bellazzini and P. Ciliegi, 'A method for space-variant deblurring with application to adaptive optics imaging in astronomy', MNRAS 579, A1 (2015)

PATCH