TY - GEN
T1 - Camera spectral sensitivity, illumination and spectral reflectance estimation for a hybrid hyperspectral image capture system
AU - Zhang, Lin
AU - Fu, Ying
AU - Zheng, Yinqiang
AU - Huang, Hua
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - A variety of methods have been proposed to restore high resolution hyperspectral image (HSI) from a hybrid camera system, which captures high spatial resolution RGB images and low spatial resolution HSI. They focused unanimously on HSI super-resolution via fusion, yet did not explore the potential of this kind of system for camera spectral sensitivity (CSS), illumination spectrum, and high spatial resolution spectral reflectance recovery. In this paper, we present a sparse representation based method to estimate the CSS of the RGB camera under unknown illumination for the hybrid camera system. Furthermore, the illumination and high spatial resolution spectral reflectance are simultaneously recovered. Experimental results show the effectiveness of the proposed methods on camera spectral sensitivity, illumination spectrum and spectral reflectance recovery.
AB - A variety of methods have been proposed to restore high resolution hyperspectral image (HSI) from a hybrid camera system, which captures high spatial resolution RGB images and low spatial resolution HSI. They focused unanimously on HSI super-resolution via fusion, yet did not explore the potential of this kind of system for camera spectral sensitivity (CSS), illumination spectrum, and high spatial resolution spectral reflectance recovery. In this paper, we present a sparse representation based method to estimate the CSS of the RGB camera under unknown illumination for the hybrid camera system. Furthermore, the illumination and high spatial resolution spectral reflectance are simultaneously recovered. Experimental results show the effectiveness of the proposed methods on camera spectral sensitivity, illumination spectrum and spectral reflectance recovery.
KW - Camera spectral sensitivity
KW - Illumination estimation
KW - Spectral reflectance recovery
UR - http://www.scopus.com/inward/record.url?scp=85045344895&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2017.8296340
DO - 10.1109/ICIP.2017.8296340
M3 - Conference contribution
AN - SCOPUS:85045344895
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 545
EP - 549
BT - 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
PB - IEEE Computer Society
T2 - 24th IEEE International Conference on Image Processing, ICIP 2017
Y2 - 17 September 2017 through 20 September 2017
ER -