Fabry-Perot Filter Array Inversion for Hyperspectral Datacube Restoration - Archive ouverte HAL
Communication Dans Un Congrès Année : 2022

Fabry-Perot Filter Array Inversion for Hyperspectral Datacube Restoration

Résumé

Compact hyperspectral cameras enable scanning a scene with both a large spectral and spatial resolution. However, they use Fabry-Perot filter (FPf) arrays with different cavity heights. The transmittance of each FPf basically produces two peaks coming from the harmonics of the filter. However, the exit pupil of the device together with the pixel position degrades the perfect transmittance. We propose here to model the whole degradation of the datacube pixels extracted from the raw images according to extending Goossens et al.'s physical model. In this article, in order to recover the luminance of one pixel, we propose to invert this physical model by solving a non-negative ill-posed problem. It turns out that our whole method outperforms state-of-the-art approaches, especially, the one proposed by the manufacturer.
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Dates et versions

hal-03728968 , version 1 (20-07-2022)

Identifiants

  • HAL Id : hal-03728968 , version 1

Citer

Pierre Chatelain, Gilles Delmaire, Matthieu Puigt, Gilles Roussel. Fabry-Perot Filter Array Inversion for Hyperspectral Datacube Restoration. 2nd Workshop on Low-Rank Models and Applications (LRMA'22), Sep 2022, Mons, Belgium. ⟨hal-03728968⟩
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