Simulation of proposed eight-band camera for capturing multispectral images

Multispectral image contains much more information than regular RGB image so that it has wide applications in the field of physics, surveillance, environment monitoring or investigation of artworks. The traditional spectral imaging cameras are mainly based on broom/scanning or filter wheel imaging technologies, while those techniques share significant disadvantages of high cost and structural complexity. In this paper we proposed an eight-band multispectral camera prototype with only one CCD, which is cost-effective and high-speed for capturing the moving objects. A simulated experiment is designed to evaluate the proposed eight-band imaging system. The hyperspectral scene is firstly acquired and imaged on the CCD which generates the raw image, and then a demosaicking algorithm based on modified bilinear interpolation is employed to reconstruct the missing imaging values from the raw image, at last the demosaicked image is converted into spectral values with the conversion coefficient calculated from spectral camera characterization. In order to evaluate the proposed eight-band imaging system, the demosaicked image values and recovered spectral values are compared with the original data respectively in the form of PSNR and RRMS. In the experiment result, the eight-band multispectral camera captures spectral images successfully with high PSNR values and lower RRMS errors.