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Astronomy with High Contrast Imaging
C. Aime and R. Soummer (eds)
EAS Publications Series, Vol. 8, 2003
DOI: 10.1051/eas:2003069
Deconvolution of astronomical adaptive optics images
T. Fusco, L. Mugnier, J.-M. Conan, G. Rousset1, F. Marchis2, G. Chauvin, A.-M. Lagrange3 and D. Mouillet41 Office National d'Études et de Recherches Aérospatiales (ONERA), France
2 University of California, Berkeley, CA 94720, USA
3 Laboratoire d'Astrophysique de Grenoble, France
4 Laboratoire Astrophysique, Observatoire Midi-Pyrénées, France
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.
© EAS, EDP Sciences 2003
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