Compressive hyperspectral imaging in the molecular fingerprint band

Jake M. Charsley, Marius Rutkauskas, Yoann Altmann, Valentina Risdonne, Michela Botticelli, Margaret J. Smith, Christina R. T. Young, Derryck Telford Reid

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)
88 Downloads (Pure)

Abstract

Spectrally-resolved imaging provides a spectrum for each pixel of an image that, in the mid-infrared, can enable its chemical composition to be mapped by exploiting the correlation between spectroscopic features and specific molecular groups. The compatibility of Fourier-transform interferometry with full-field imaging makes it the spectroscopic method of choice, but Nyquist-limited fringe sampling restricts the increments of the interferometer arm length to no more than a few microns, making the acquisition time-consuming. Here, we demonstrate a compressive hyperspectral imaging strategy that combines non-uniform sampling and a smoothness-promoting prior to acquire data at 15% of the Nyquist rate, providing a significant acquisition-rate improvement over state-of-the-art techniques. By illuminating test objects with a sequence of suitably designed light spectra, we demonstrate compressive hyperspectral imaging across the 700–1400 cm-1 region in transmission mode. A post-processing analysis of the resulting hyperspectral images shows the potential of the method for efficient non-destructive classification of different materials on painted cultural heritage.
Original languageEnglish
Pages (from-to)17340-17350
Number of pages11
JournalOptics Express
Volume30
Issue number10
Early online date5 May 2022
DOIs
Publication statusPublished - 9 May 2022

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