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Proceedings Paper

Optimization of pseudorandom coded apertures for compressive spectral imaging
Author(s): Henry Arguello; Alejandro Parada; Gonzalo R. Arce
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Paper Abstract

A new pseudorandom coded aperture design framework for multi-frame Coded Aperture Snapshot Spectral Imaging (CASSI) system is presented. Our previous work determines a matrix system model for multi-frame CASSI which is used to design sets of spectrally selective coded apertures. Then, the required number of CASSI measurements is dictated by the desired profile of spectral bands. This work aims at optimizing the set of selective coded apertures such that the number of FPA CASSI measurements is reduced to a desired number of shots, regardless of the targeted spectral profile. A set of pseudorandom weights are determined such that the rank of the matrix representing the ensemble of weighted spectrally selective coded apertures is optimized. Simulations show higher quality of spectral image reconstruction than those attained by systems using random coded aperture sets.

Paper Details

Date Published: 31 May 2013
PDF: 8 pages
Proc. SPIE 8717, Compressive Sensing II, 87170D (31 May 2013); doi: 10.1117/12.2015053
Show Author Affiliations
Henry Arguello, Univ. of Delaware (United States)
Univ. Industrial de Santander (Colombia)
Alejandro Parada, Univ. of Delaware (United States)
Gonzalo R. Arce, Univ. of Delaware (United States)


Published in SPIE Proceedings Vol. 8717:
Compressive Sensing II
Fauzia Ahmad, Editor(s)

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