期刊
OPTICS AND LASERS IN ENGINEERING
卷 156, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.optlaseng.2022.107098
关键词
Hyperspectral imaging; Diffractive optical element; Iterative algorithm; Neural network; Snapshot
类别
资金
- Key Research Project of Zhejiang Lab [2021MH0AC01]
- Science and Technology on Optical Radiation Laboratory [61424080211]
This study proposed a practical hyperspectral camera with a designed diffractive optical element (DOE), which achieved good spatial resolution and spectral accuracy in snapshot spectral imaging. This system had great potential in portable hyperspectral imaging system.
As the pursuit of snapshot spectral imaging continued to grow, traditional hyperspectral imaging systems have been too enormous and too slow to implement in real scenarios. Considering the portability and the demand for snapshots, in this study, we proposed a practical hyperspectral camera with a designed diffractive optical element (DOE). The designed DOE distinguished the incident spectrums and converged them into different point spread functions (PSFs) on the imaging plane. Utilizing the spectrally-varying PSF information, we engaged the iterative algorithm with the deep-learning model to reconstruct hyperspectral data. Experimental results demonstrated that the proposed system performed at least as well as the current methods and could achieve great spatial resolution and spectral accuracy in spectral imaging. This proposed system had good potential in portable hyperspectral imaging system.
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