Compressed Raman method combining classification and estimation of spectra with optimized binary filters - Archive ouverte HAL
Article Dans Une Revue Optics Letters Année : 2022

Compressed Raman method combining classification and estimation of spectra with optimized binary filters

Timothée Justel
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Frédéric Galland
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Antoine Roueff

Résumé

Compressed Raman methods allow classification between known chemical species with only a few measurements through binary filters. We propose a methodology for binary filter optimization, in which filters are modified at each pixel so that classification can still be achieved pixel by pixel with a few measurements acquired in parallel, while retaining the ability to reconstruct a full spectrum when combining measurements from several pixels. This approach is robust to intensity variations between pixels. It relies on a generalized Bhattacharyya bound and on the Cramér–Rao bound to tailor filters with optimized performance.
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Dates et versions

hal-03573871 , version 1 (17-02-2022)

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Citer

Timothée Justel, Frédéric Galland, Antoine Roueff. Compressed Raman method combining classification and estimation of spectra with optimized binary filters. Optics Letters, 2022, 47 (5), pp.1101-1104. ⟨10.1364/OL.447769⟩. ⟨hal-03573871⟩
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