Rapid coded aperture spectrometer based on energy concentration characteristic

Abstract

In recent years, Coded Aperture Snapshot Spectroscopic Imaging System (CASSI) has attracted more and more attention. However, in the case of undersampling, the effect of the reconstructed image is often unsatisfactory. For spectral imaging system, the slower the imaging speed, the higher the image resolution of hyperspectral images, and vice versa. To solve this problem, in this paper, we design an undersampling rapid coded aperture spectrometer system. Based on the analysis of the internal relationship between coded spectral imaging and single pixel imaging, the order of the discrete cosine transform (DCT) coding patterns is selected by using the energy concentration property of the DCT and the rich spatial information contained in the RGB images. In addition, we built a spectral image enhancement network to improve the quality of the reconstructed images. At the sampling rate of 0.0625, the PSNR, SSIM and SAM of the spectral images reconstructed based on our system are 43.8341, 0.9869 and 2.0862, respectively, the reconstruction effect of this method is significantly superior to other methods, and this method provides an idea to address the contradiction between image resolution and imaging speed to a certain extent, so as to achieve high speed and high resolution hyperspectral imaging.