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

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 fe...

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Bibliographic Details
Published inOptics letters Vol. 47; no. 5; p. 1101
Main Authors Justel, Timothée, Galland, Frédéric, Roueff, Antoine
Format Journal Article
LanguageEnglish
Published United States 01.03.2022
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Summary: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.
ISSN:1539-4794
DOI:10.1364/OL.447769