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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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Submitted on : Tuesday, March 10, 2020 - 10:50:56 AM
Last modification on : Monday, October 17, 2022 - 1:42:59 PM
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Mohamed El Amine Hadj-Youcef, François Orieux, Aurélia Fraysse, M A Hadj-Youcef˚, F Orieux˚, et al.. 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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