Restoration from Multispectral Blurred Data with Non-Stationary Instrument Response

Abstract : In this paper we propose an approach of image restoration from multispectral data provided by an imaging system. We specifically address two topics: (i) Development of a multi-wavelength direct model for non-stationary instrument response that includes a spatial convolution and a spectral integration, (ii) Implementation of multispectral image restoration using a regularized least-square, based on a quadratic criterion and minimized by a gradient algorithm. We test our approach on simulated data of the Mid-InfraRed Instrument IMager (MIRIM) of the James Webb Space Telescope (JWST). Our method shows a clear increase of spatial resolution compare to conventional methods.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01596253
Contributor : Aurélia Fraysse <>
Submitted on : Wednesday, September 27, 2017 - 2:17:28 PM
Last modification on : Monday, October 14, 2019 - 5:02:03 PM

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Mohamed El Amine Hadj-Youcef, François Orieux, Aurélia Fraysse, Alain Abergel. Restoration from Multispectral Blurred Data with Non-Stationary Instrument Response. 25th European Signal Processing Conference (EUSIPCO 2017), Aug 2017, kos, Greece. ⟨10.23919/eusipco.2017.8081258 ⟩. ⟨hal-01596253⟩

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