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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Published in | Optics letters Vol. 47; no. 5; p. 1101 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
United States
01.03.2022
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Online Access | Get more information |
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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. |
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ISSN: | 1539-4794 |
DOI: | 10.1364/OL.447769 |