RGB detectors on compressive snapshot multi-spectral imagers

Hoover Rueda, Daniel Lau, Gonzalo R. Arce

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The coded aperture snapshot spectral imager (CASSI) system has been demonstrated to produce spectral images using just a single snapshot taken by a monochrome image sensor. In this paper, we introduce the use of color image sensors in CASSI to include the spectral sensitivity of the image sensor pixels to account for color and then investigate the impact on image quality. We analyze the use of the traditional Bayer color filter array image sensor, and the novel Foveon image sensor which stacks red, green, and blue pixels on top of one another. Several simulations on different 3D spatio-spectral databases show improvements of up to 3 dBs in terms of PSNR over traditional monochrome sensors.

Original languageEnglish
Title of host publication2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
Pages388-392
Number of pages5
ISBN (Electronic)9781479975914
DOIs
StatePublished - Feb 23 2016
EventIEEE Global Conference on Signal and Information Processing, GlobalSIP 2015 - Orlando, United States
Duration: Dec 13 2015Dec 16 2015

Publication series

Name2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015

Conference

ConferenceIEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
Country/TerritoryUnited States
CityOrlando
Period12/13/1512/16/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • Compressive sensing
  • RGB detectors
  • coded apertures
  • hyperspectral imaging
  • optical imaging

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing

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