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Proceedings Paper

Spectrum reconstruction for filter-array spectrum sensor using sparse representation
Author(s): Cheng-Chun Chang; Nan-Ting Lin; Umpei Kurokawa; Byung Il Choi
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Paper Abstract

In recent years, miniature spectrometers have been found useful in many applications to resolve spectrum signature of objects or materials. In this paper, algorithms for filter-array spectrum sensor to realize miniature spectrometers are investigated. Conventionally, the filter-array spectrum sensor can be modeled as an over-determined problem, and the spectrum can be reconstructed by solving a set of linear equations. On the contrary, we model the spectrum reconstruction process as an under-determined problem, and bring up the concept of template-selection by sparse representation. L1-minimization algorithm is tested to achieve a high reconstruction resolution. Simulation results show superior quality of spectrum reconstruction can be made possible from this under-determined approach.

Paper Details

Date Published: 20 May 2011
PDF: 10 pages
Proc. SPIE 8048, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII, 80481S (20 May 2011); doi: 10.1117/12.886342
Show Author Affiliations
Cheng-Chun Chang, National Taipei Univ. of Technology (Taiwan)
Nan-Ting Lin, National Taipei Univ. of Technology (Taiwan)
Umpei Kurokawa, NanoLambda, Inc. (United States)
Byung Il Choi, NanoLambda, Inc. (United States)

Published in SPIE Proceedings Vol. 8048:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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