Camera spectral sensitivity, illumination and spectral reflectance estimation for a hybrid hyperspectral image capture system

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.