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Conference Papers Year : 2017

Restoration from Multispectral Blurred Data with Non-Stationary Instrument Response

Aurélia Fraysse
M A Hadj-Youcef˚
  • Function : Author
  • PersonId : 1066093
F Orieux˚
  • Function : Author
A Fraysse˚
  • Function : Author

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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Dates and versions

hal-01596253 , version 1 (10-03-2020)

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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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