Strehl-constrained iterative blind deconvolution for post-adaptive-optics data
DISI, Università di Genova, Via Dodecaneso 35, 16146 Genova, Italy e-mail: email@example.com
2 UMR 6525 H. Fizeau, Université de Nice Sophia Antipolis/CNRS/Observatoire de la Côte d'Azur, Parc Valrose, 06108 Nice Cedex 2, France e-mail: firstname.lastname@example.org
Accepted: 4 September 2009
Aims. We aim to improve blind deconvolution applied to post-adaptive-optics (AO) data by taking into account one of their basic characteristics, resulting from the necessarily partial AO correction: the Strehl ratio.
Methods. We apply a Strehl constraint in the framework of iterative blind deconvolution (IBD) of post-AO near-infrared images simulated in a detailed end-to-end manner and considering a case that is as realistic as possible.
Results. The results obtained clearly show the advantage of using such a constraint, from the point of view of both performance and stability, especially for poorly AO-corrected data. The proposed algorithm has been implemented in the freely-distributed and CAOS-based Software Package AIRY.
Key words: methods: data analysis / methods: numerical / techniques: image processing
© ESO, 2009