Compressed hyperspectral imaging based on Fabry-Perot structures

Yanda Gu; Junqiu Chu; Haotong Ma

doi:10.1117/12.3017359

30 April 2024 Compressed hyperspectral imaging based on Fabry-Perot structures

Yanda Gu, Junqiu Chu, Haotong Ma

Proceedings Volume 13155, Sixth Conference on Frontiers in Optical Imaging and Technology: Novel Imaging Systems; 131550O (2024) https://doi.org/10.1117/12.3017359
Event: Sixth Conference on Frontiers in Optical Imaging Technology and Applications (FOI2023), 2023, Nanjing, JS, China

Abstract

Spectral information has a wide range of applications in many fields. With the proposal of compressed sensing technology, computational spectral imaging has emerged, which eliminates the complex optical components in the traditional method and dramatically improves the efficiency of spectral imaging by combining optical modulation and computational reconstruction. However, such approaches still have the disadvantages of being expensive and relying on the priori information. In this paper, we propose a spectral imaging method based on Fabry-Perot interference. Our approach is based on several filters with random transmittance. Combined with optical thin film technology, we design thinner dielectric layers to realize the construction of filters, which have unique broad-spectrum modulation properties to perceive spectral information. Compared with the existing wavelength modulation curves, our designed filters have higher transmittance and better compression effects to realize spectral reconstruction with a spectral resolution of 10 nm. Both simulation and experimental results demonstrate the effectiveness of the method used in this paper.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yanda Gu, Junqiu Chu, and Haotong Ma "Compressed hyperspectral imaging based on Fabry-Perot structures", Proc. SPIE 13155, Sixth Conference on Frontiers in Optical Imaging and Technology: Novel Imaging Systems, 131550O (30 April 2024); https://doi.org/10.1117/12.3017359

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