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Conference Papers Year : 2021

Fast, Frugal Image Reconstruction with a Dual Disperser Hyperspectral Imager

Abstract

Recently we demonstrated the reconstruction of a hyperspectral datacube with 110 wavelength bands from 10 camera acquisitions [1] . The implementation of this scheme, similarly to compressed sensing, relies on spatial- spectral correlations within the scene. A digital micro-mirror device (DMD) provides programmable spatial- spectral filtering, and is optimized to improve both the speed and accuracy of the reconstruction. Contrary to widespread approaches based on compressed sensing with a single disperser, our dual disperser architecture, illus- trated in Figure 1a , allows straightforward access the panchromatic image and simpler reconstruction algorithms. In particular, we harnessed the panchromatic image to develop a simple edge-preserving quadratic regularization, which is faster than ℓ 1 regularization and does not assume any sparse basis.
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Dates and versions

hal-03407756 , version 1 (28-10-2021)

Identifiers

Cite

Elizabeth Hemsley, Ibrahim Ardi, Simon Lacroix, Hervé Carfantan, Antoine Monmayrant. Fast, Frugal Image Reconstruction with a Dual Disperser Hyperspectral Imager. 2021 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC), Jun 2021, Munich, Germany. pp.1-1, ⟨10.1109/CLEO/Europe-EQEC52157.2021.9542719⟩. ⟨hal-03407756⟩
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