Abstract
Abstract Spectrum of light reflected from an object is a fingerprint of its physical and chemical properties. In this paper, we proposed an energy correction based coded aperture snapshot spectral imaging (EC-CASSI) system to obtain the spatial/spectral data cube reflected from the object scene. Coded aperture was specifically designed in the system to efficiently compress input data in one shot. Based on the Two-step Iterative Shrinkage Thresholding (TwIST) algorithm, EC-TwIST was proposed with two-step energy correction to achieve higher accuracy in hyperspectral imaging reconstruction. Results showed that spatiospectral cube acquisition accuracy of EC-CASSI were 34.78% (differential relative spectral quadratic error evaluation) and 89.71% (entropy bias evaluation) higher than traditional CASSI system, respectively. This highly computation-relied spectrum obtainment method showed great potential in the application of machine vision and auto recognition.
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