Share Email Print

Optical Engineering

Spectrum reconstruction for filter-array spectrum sensor from sparse template selection
Author(s): Cheng-Chun Chang; Nan-Ting Lin; Umpei Kurokawa; Byung Il Choi
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In recent years, miniature spectrometers have been found to be useful in many applications to resolve spectrum signatures of materials. In this paper, algorithms are proposed to realize a miniature spectrometer using a low-cost filter-array spectrum sensor. Conventionally, the filter-array spectrum sensor can be modeled as an overdetermined problem, and the spectrum can be reconstructed by solving a set of linear equations. In this paper, we instead model the spectrum reconstruction process as an underdetermined problem, and bring up the concept of template-selection by sparse representation. l1 − norm minimization is introduced to achieve a high reconstruction resolution. Both simulation and experimental results show that a superior quality of spectrum reconstruction can be made possible from the presented underdetermined approach.

Paper Details

Date Published: 1 November 2011
PDF: 8 pages
Opt. Eng. 50(11) 114402 doi: 10.1117/1.3645086
Published in: Optical Engineering Volume 50, Issue 11
Show Author Affiliations
Cheng-Chun Chang, National Taipei Univ. of Technology (Taiwan)
Nan-Ting Lin, National Taipei Univ. of Technology (Taiwan)
Umpei Kurokawa, nanoLambda (United States)
Byung Il Choi, nanoLambda (United States)

© SPIE. Terms of Use
Back to Top