期刊
JOURNAL OF PHYSICS D-APPLIED PHYSICS
卷 56, 期 25, 页码 -出版社
IOP Publishing Ltd
DOI: 10.1088/1361-6463/acc7b4
关键词
computational imaging; deep learning; vision-transformer; coded aperture snapshot spectral imaging (CASSI); snapshot compressive imaging (SCI)
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.
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据