Volume 579, July 2015
|Number of page(s)||11|
|Section||Numerical methods and codes|
|Published online||19 June 2015|
A method for space-variant deblurring with application to adaptive optics imaging in astronomy⋆
1 Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei Sistemi (DIBRIS), Università di Genova, via Dodecaneso 35, 16145 Genova, Italy
e-mail: firstname.lastname@example.org; email@example.com; firstname.lastname@example.org;
2 INAF–Osservatorio Astronomico di Bologna, via Ranzani 1, 40127 Bologna, Italy
e-mail: email@example.com; firstname.lastname@example.org; email@example.com; firstname.lastname@example.org
Received: 3 January 2015
Accepted: 19 April 2015
Context. Images from adaptive optics systems are generally affected by significant distortions of the point spread function (PSF) across the field of view, depending on the position of natural and artificial guide stars. Image reduction techniques circumventing or mitigating these effects are important tools to take full advantage of the scientific information encoded in adaptive optics images.
Aims. The aim of this paper is to propose a method for the deblurring of the astronomical image, given a set of samples of the space-variant PSF.
Methods. The method is based on a partitioning of the image domain into regions of isoplanatism and on applying suitable deconvolution methods with boundary effects correction to each region.
Results. The effectiveness of the boundary effects correction is proved. Moreover, the criterion for extending the disjoint sections to partially overlapping sections is validated. The method is applied to simulated images of a stellar system characterized by a spatially variable PSF. We obtain good photometric quality, and therefore good science quality, by performing aperture photometry on the deblurred images.
Key words: methods: data analysis / methods: numerical / techniques: image processing
The proposed method is implemented in IDL in the Software Package “Patch”, which is available on http://www.airyproject.eu
© ESO, 2015
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.