Strehl-constrained iterative blind deconvolution for post-adaptive-optics data

Details Strehl-constrained iterative blind deconvolution for post-adaptive-optics data Strehl-constrained iterative blind deconvolution for post-adaptive-optics data

Dec 2009

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009a%26a...507.1759d&link_type=abstract

Astronomy and Astrophysics, Volume 507, Issue 3, 2009, pp.1759-1762

Astronomy and Astrophysics

Astrophysics

3

Methods: Data Analysis, Methods: Numerical, Techniques: Image Processing

Scientific paper

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.

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