Grating-based coded aperture compressive spectral imaging to reconstruct over 190 spectral bands from a snapshot measurement

We report snapshot compressive spectral imaging using a grating and coded aperture. A vision-transformer-based deep learning algorithm is developed for high-quality reconstruction. Experimental results demonstrate that over 190 spectral bands can be reconstructed from a single measurement from 485-657 nm with spectral accuracy of about 2 nm and spectral resolution up to 1.5 nm.

Automated summary

This paper reports on snapshot compressive spectral imaging using a grating and coded aperture. A vision-transformer-based deep learning algorithm is developed to achieve high-quality reconstruction. Experimental results demonstrate the reconstruction of over 190 spectral bands from a single measurement in the range of 485-657 nm, with a spectral accuracy of about 2 nm and a spectral resolution of up to 1.5 nm.