Hostname: page-component-848d4c4894-jbqgn Total loading time: 0 Render date: 2024-06-26T18:29:31.907Z Has data issue: false hasContentIssue false
  • English
  • Français

Deconvolution of astronomical adaptive optics images

Published online by Cambridge University Press:  28 May 2003

Claude Aime ,
Rémi Soummer ,
T. Fusco ,
L. Mugnier ,
J.-M. Conan ,
G. Rousset ,
F. Marchis ,
G. Chauvin ,
A.-M. Lagrange  and
D. Mouillet
G. Rousset
Affiliation:
Office National d'Études et de Recherches Aérospatiales (ONERA), France
F. Marchis
Affiliation:
University of California, Berkeley, CA 94720, USA
A.-M. Lagrange
Affiliation:
Laboratoire d'Astrophysique de Grenoble, France
D. Mouillet
Affiliation:
Laboratoire Astrophysique, Observatoire Midi-Pyrénées, France
Get access

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.

Type
Research Article
Information
European Astronomical Society Publications Series , Volume 8: Astronomy with High Contrast Imaging , 2003 , pp. 259 - 271
Copyright
© EAS, EDP Sciences, 2003

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)