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Restoration of hyperspectral astronomical data with spectrally varying blur

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.
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Contributor : Ferréol Soulez <>
Submitted on : Wednesday, January 9, 2013 - 4:26:00 PM
Last modification on : Monday, January 13, 2020 - 5:46:04 PM
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Ferréol Soulez, Éric Thiébaut, Loïc Denis. Restoration of hyperspectral astronomical data with spectrally varying blur. EAS Publications Series, EDP Sciences, 2013, 59, pp.403--416. ⟨10.1051/eas/1359018⟩. ⟨hal-00771955⟩



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