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Spatio-Spectral Multichannel Reconstruction from few Low-Resolution Multispectral Data

Abstract : This paper deals with the reconstruction of a 3-D spatio-spectral object observed by a multispectral imaging system, where the original object is blurred with a spectral-variant PSF (Point Spread Function) and integrated over few broad spectral bands. In order to tackle this ill-posed problem, we propose a multispectral forward model that accounts for direct (or auto) channels and between (or cross) channels degradation, by modeling the imaging system response and the spectral distribution of the object with a piecewise linear function. Reconstruction based on regularization methods is proposed, by enforcing spatial and spectral smoothness of the object. We test our approach on simulated data of the Mid-InfraRed Instrument (MIRI) Imager of the James Webb Space Telescope (JWST). Results on simulated multispectral data show a significant improvement over the conventional multichannel method.
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Contributor : François Orieux Connect in order to contact the contributor
Submitted on : Wednesday, December 12, 2018 - 9:28:51 AM
Last modification on : Thursday, October 6, 2022 - 10:35:00 AM
Long-term archiving on: : Wednesday, March 13, 2019 - 12:51:34 PM


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  • HAL Id : hal-01952286, version 1


Mohamed El Amine Hadj-Youcef, François Orieux, Aurélia Fraysse, A. Abergel. Spatio-Spectral Multichannel Reconstruction from few Low-Resolution Multispectral Data. 26th European Signal Processing Conference (EUSIPCO 2018), Sep 2018, Rome, Italy. ⟨hal-01952286⟩



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