TY - GEN
T1 - Compressive hyperspectral imaging with complementary RGB measurements
AU - Wang, Lizhi
AU - Xiong, Zhiwei
AU - Shi, Guangming
AU - Zeng, Wenjun
AU - Wu, Feng
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/4
Y1 - 2017/1/4
N2 - 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.
AB - 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.
KW - Compressive sensing
KW - computational photography
KW - hyperspectral imaging
UR - http://www.scopus.com/inward/record.url?scp=85011067165&partnerID=8YFLogxK
U2 - 10.1109/VCIP.2016.7805530
DO - 10.1109/VCIP.2016.7805530
M3 - Conference contribution
AN - SCOPUS:85011067165
T3 - VCIP 2016 - 30th Anniversary of Visual Communication and Image Processing
BT - VCIP 2016 - 30th Anniversary of Visual Communication and Image Processing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE Visual Communication and Image Processing, VCIP 2016
Y2 - 27 November 2016 through 30 November 2016
ER -