Paper
7 February 2003 Deconvolution of astronomical images obtained from ground-based telescopes with adaptive optics
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Abstract
Deconvolution is a necessary tool for the exploitation of adaptive optics corrected images, because the correction is partial. The Maximum A Posteriori (MAP) framework is used to derive a deconvolution method (MISTRAL) that combines the data with our knowledge of the noise statistics as well as our prior information about the object and the variability of the Point Spread Function. The deconvolution of experimental and scientific data illustrates the capabilities of this method.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thierry Fusco, Laurent M. Mugnier, Jean-Marc Conan, Franck Marchis, G. Chauvin, Gerard Rousset, Anne-Marie Lagrange, David Mouillet, and Francois J. Roddier "Deconvolution of astronomical images obtained from ground-based telescopes with adaptive optics", Proc. SPIE 4839, Adaptive Optical System Technologies II, (7 February 2003); https://doi.org/10.1117/12.459326
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CITATIONS
Cited by 10 scholarly publications.
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KEYWORDS
Deconvolution

Adaptive optics

Point spread functions

Neptune

Stars

Telescopes

Astronomy

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