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Proceedings Paper

On super-resolved coded aperture spectral imaging
Author(s): Hoover F. Rueda; Henry Arguello; Gonzalo R. Arce
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Paper Abstract

Coded Aperture Snapshot Spectral Imager (CASSI) senses three-dimensional scenes using a single focal plane array (FPA) snapshot. CASSI measurements are random projections of the underlying scene which can be recovered using the theory of compressive sensing (CS). This work generalizes the CASSI architecture which permits to sense high resolution hyper-spectral scenes using low resolution FPAs. We present a multiple-shot extension of CASSI where spectral super-resolution can be attained. In the proposed system, a second highresolution coded aperture is introduced in CASSI to encode both spatial and spectral dimensions of the data cube. This approach allows the reconstruction of super-resolved hyper-spectral data cubes, where the number of spectral bands is significantly increased. Simulations show an improvement of up to 6 dB in PSNR image reconstruction, and a four-fold increase in spectral resolution.

Paper Details

Date Published: 18 May 2013
PDF: 6 pages
Proc. SPIE 8743, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, 87431B (18 May 2013); doi: 10.1117/12.2015855
Show Author Affiliations
Hoover F. Rueda, Univ. of Delaware (United States)
Henry Arguello, Univ. of Delaware (United States)
Univ. Industrial de Santander (Colombia)
Gonzalo R. Arce, Univ. of Delaware (United States)


Published in SPIE Proceedings Vol. 8743:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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