A compressive approach to imaging spectroscopy

Rebecca French; Sylvain Gigan; Otto L. Muskens

doi:10.1117/12.2303984

8 May 2018 A compressive approach to imaging spectroscopy

Rebecca French, Sylvain Gigan, Otto L. Muskens

Proceedings Volume 10644, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV; 106441D (2018) https://doi.org/10.1117/12.2303984
Event: SPIE Defense + Security, 2018, Orlando, FL, United States

Abstract

Imaging spectroscopy is of great importance for applications such as environmental sensing and astronomy observations. These devices rely on the acquisition and storage of vast amounts of spectral and spatial information. As experimental techniques are becoming more sophisticated, there is an increasing amount of data to collect and process. Here, we show that spectral information can be undersampled and fully reconstructed at nm resolution, with the aid of a multiple scattering material. We measure spectrally- and spatially-dependent speckle patterns, over a broad wavelength range, which are calibrated and stored in a spectral intensity transmission matrix. A compressive sensing technique is used to limit data collection at the acquisition stage during both the calibration and the reconstruction process. This enables fast reconstruction with minimal data storage needed, and offers a solution for light-weight, compact hyperspectral imaging systems.

Citation Download Citation

Rebecca French, Sylvain Gigan, and Otto L. Muskens "A compressive approach to imaging spectroscopy", Proc. SPIE 10644, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV, 106441D (8 May 2018); https://doi.org/10.1117/12.2303984

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