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Proceedings Paper

Signal recovery for compressive spectrometers
Author(s): Chih-Cheng Lu; Kevin Chen; Li-Ren Huang; H. T. Kung
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Paper Abstract

Spectrometers are widely used for characterizing materials. Recently, filter-based spectrometers have been pro- posed to lower the manufacturing cost by replacing optical components with low-cost wavelength-selective filters, but at the expense of possibly lowered signal quality. We present compressive spectrometers which, based on the compressive sensing principle, are able to recover signal with improved quality from measurements acquired by a relatively small number of low-cost filters. We achieve high quality recovery by leveraging the fact that spectrometer measurements typically follow the shape of a smooth curve with a few spikes. We validate our method with real-world measurements, and release our dataset to facilitate future research.

Paper Details

Date Published: 15 May 2018
PDF: 7 pages
Proc. SPIE 10665, Sensing for Agriculture and Food Quality and Safety X, 106650U (15 May 2018); doi: 10.1117/12.2304367
Show Author Affiliations
Chih-Cheng Lu, Industrial Technology Research Institute (Taiwan)
Kevin Chen, Google Inc. (United States)
Li-Ren Huang, Industrial Technology Research Institute (Taiwan)
H. T. Kung, Harvard Univ. (United States)

Published in SPIE Proceedings Vol. 10665:
Sensing for Agriculture and Food Quality and Safety X
Moon S. Kim; Kuanglin Chao; Bryan A. Chin; Byoung-Kwan Cho, Editor(s)

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