Anisoplanatic deconvolution of adaptive optics images

Details Anisoplanatic deconvolution of adaptive optics images Anisoplanatic deconvolution of adaptive optics images

Mar 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005josaa..22..504f&link_type=abstract

Optical Society of America Journal, Volume 22, Issue 3, pp. 504-513 (2005).

Physics

Optics

2

Adaptive Optics, Maximum Likelihood Estimation, Deconvolution, Astronomical Techniques, Optical Transfer Function, Optical Images

Scientific paper

A modified method for maximum-likelihood deconvolution of astronomical adaptive optics images is presented. By parametrizing the anisoplanatic character of the point-spread function (PSF), a simultaneous optimization of the spatially variant PSF and the deconvolved image can be performed. In the ideal case of perfect information, it is shown that the algorithm is able to perfectly cancel the adverse effects of anisoplanatism down to the level of numerical precision. Exploring two different modes of deconvolution (using object bases of pixel values or stellar field parameters), we then quantify the performance of the algorithm in the presence of Poissonian noise for crowded and noncrowded stellar fields.

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