Fast hyperspectral cube reconstruction for a double disperser imager

Ibrahim Ardi 1, 2 Hervé Carfantan 1 Simon Lacroix 3 Antoine Monmayrant 2
2 LAAS-PHOTO - Équipe Photonique
LAAS - Laboratoire d'analyse et d'architecture des systèmes [Toulouse]
3 LAAS-RIS - Équipe Robotique et InteractionS
LAAS - Laboratoire d'analyse et d'architecture des systèmes [Toulouse]
Abstract : We consider the problem of hyperspectral cube reconstruction with a new controllable imaging system. The reconstruction with a small number of images acquired with different configurations of the imager avoids a complete scanning of the hyperspectral cube. We focus here on a quadratic penalty reconstruction approach, which provides a fast resolution thanks to the high sparsity of the involved matrices. While such a regu-larization is known to smooth the restored images, we propose to exploit the system capability to acquire the panchromatic image of the scene, to introduce prior information on the sharp edges of the image, leading to a fast and edge-preserved reconstruction of the image.
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Communication dans un congrès
26th European Signal Processing Conference (EUSIPCO 2018), Sep 2018, Roma, Italy. 2018, 26th European Signal Processing Conference (EUSIPCO 2018)
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https://hal.laas.fr/hal-01852173
Contributeur : Simon Lacroix <>
Soumis le : mercredi 1 août 2018 - 08:21:11
Dernière modification le : mardi 11 septembre 2018 - 15:19:14

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Ardi_Eusipco2018.pdf
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  • HAL Id : hal-01852173, version 1

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Ibrahim Ardi, Hervé Carfantan, Simon Lacroix, Antoine Monmayrant. Fast hyperspectral cube reconstruction for a double disperser imager. 26th European Signal Processing Conference (EUSIPCO 2018), Sep 2018, Roma, Italy. 2018, 26th European Signal Processing Conference (EUSIPCO 2018). 〈hal-01852173〉

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