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Proceedings Paper

Deconvolution of astronomical images obtained from ground-based telescopes with adaptive optics
Author(s): Thierry Fusco; Laurent M. Mugnier; Jean-Marc Conan; Franck Marchis; G. Chauvin; Gerard Rousset; Anne-Marie Lagrange; David Mouillet; Francois J. Roddier
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Paper 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.

Paper Details

Date Published: 7 February 2003
PDF: 11 pages
Proc. SPIE 4839, Adaptive Optical System Technologies II, (7 February 2003); doi: 10.1117/12.459326
Show Author Affiliations
Thierry Fusco, ONERA (France)
Laurent M. Mugnier, ONERA (France)
Jean-Marc Conan, ONERA (France)
Franck Marchis, Univ. of California/Berkeley (United States)
G. Chauvin, Lab. d'Astrophysique de Grenoble (France)
Gerard Rousset, ONERA (France)
Anne-Marie Lagrange, Lab. d'Astrophysique de Grenoble (France)
David Mouillet, Observatoire Midi-Pyrenees (France)
Francois J. Roddier, Institute for Astronomy/Univ. of Hawaii (United States)

Published in SPIE Proceedings Vol. 4839:
Adaptive Optical System Technologies II
Peter L. Wizinowich; Domenico Bonaccini, Editor(s)

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