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Restoration of Hyperspectral Astronomical Data with Spectrally Varying Blur

Published online by Cambridge University Press:  13 March 2013

F. Soulez ,
E. Thiébaut  and
L. Denis
F. Soulez
Affiliation:
Université de Lyon, 69003 Lyon, France; Université Lyon 1, Observatoire de Lyon, 9 avenue Charles André, 69230 Saint-Genis Laval, France; CNRS, UMR 5574, Centre de Recherche Astrophysique de Lyon; École Normale Supérieure de Lyon, 69007 Lyon, France
E. Thiébaut
Affiliation:
Université de Lyon, 69003 Lyon, France; Université Lyon 1, Observatoire de Lyon, 9 avenue Charles André, 69230 Saint-Genis Laval, France; CNRS, UMR 5574, Centre de Recherche Astrophysique de Lyon; École Normale Supérieure de Lyon, 69007 Lyon, France
L. Denis
Affiliation:
Université de Lyon, 42023 Saint-Etienne, France, CNRS, UMR 5516, Laboratoire Hubert Curien, 42000 Saint-Etienne, France, Université de Saint-Etienne, Jean Monnet, 42000 Saint-Etienne, France
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Abstract

In this paper we present a method for hyper-spectral image restoration for integral field spectrographs (IFS) data. We specifically address two topics: (i) the design of a fast approximation of spectrally varying operators and (ii) the comparison between two kind of regularization functions: quadratic and spatial sparsity functions. We illustrate this method with simulations coming from the Multi Unit Spectroscopic Explorer (MUSE) instrument. It shows the clear increase of the spatial resolution provided by our method as well as its denoising capability.

Type
Research Article
Information
European Astronomical Society Publications Series , Volume 59: New Concepts in Imaging: Optical and Statistical Models , 2013 , pp. 403 - 416
Copyright
© EAS, EDP Sciences 2013

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