Compressive hyperspectral imaging with complementary RGB measurements

Lizhi Wang, Zhiwei Xiong, Guangming Shi, Wenjun Zeng, Feng Wu

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

19 Citations (Scopus)

Abstract

Coded aperture snapshot spectral imaging (CASSI) has been demonstrated as a feasible solution to recover a 3D hyperspectral image by using a single 2D measurement. In this paper, we propose a new hybrid camera design for CASSI to capture high quality hyperspectral images while maintaining the snapshot advantage. Specifically, we employ a complementary RGB camera in conjunction with the CASSI system. The recorded RGB image can provide reliable spectral clue of the scene. By combining the coded hyperspectral information from the CASSI branch and the uncoded color information from the RGB branch, hyperspectral images can be reconstructed with high fidelity. Furthermore, by conducting demosaicing on the raw RGB image as a preprocessing procedure, even better performance can be achieved. Both theoretical analysis and simulation results show improved accuracy of the proposed method compared to the state-of-the-arts.

Original languageEnglish
Title of host publicationVCIP 2016 - 30th Anniversary of Visual Communication and Image Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509053162
DOIs
Publication statusPublished - 4 Jan 2017
Externally publishedYes
Event2016 IEEE Visual Communication and Image Processing, VCIP 2016 - Chengdu, China
Duration: 27 Nov 201630 Nov 2016

Publication series

NameVCIP 2016 - 30th Anniversary of Visual Communication and Image Processing

Conference

Conference2016 IEEE Visual Communication and Image Processing, VCIP 2016
Country/TerritoryChina
CityChengdu
Period27/11/1630/11/16

Keywords

  • Compressive sensing
  • computational photography
  • hyperspectral imaging

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