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Proceedings Paper

Reconstruction algorithms for compressive hyperspectral imaging systems with separable spatial and spectral operators
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Paper Abstract

Recently we introduced a hyperspectral compressive sensing scheme that uses separable projections in the spatial and spectral domains. The separable encoding schemes facilitates the optical implementation, reduces the computational burden dramatically, and storage requirements. Owing to these benefits we have been able to encode the hyperspectral cube in all three dimensions. In this work we present a comparison between various reconstructions methods applied to the hyperspectral data captured with our separable compressive sensing systems.

Paper Details

Date Published: 23 September 2014
PDF: 7 pages
Proc. SPIE 9217, Applications of Digital Image Processing XXXVII, 921703 (23 September 2014); doi: 10.1117/12.2064640
Show Author Affiliations
Yaniv Oiknine, Ben-Gurion Univ. of the Negev (Israel)
Yitzhak August, Ben-Gurion Univ. of the Negev (Israel)
Adrian Stern, Ben-Gurion Univ. of the Negev (Israel)

Published in SPIE Proceedings Vol. 9217:
Applications of Digital Image Processing XXXVII
Andrew G. Tescher, Editor(s)

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