Spectral reconstruction with dictionary learning based on spatially modulated photonic crystal

Wen Miao; Chenwei Huang; Jihai Yan; Xinxuan Ma; Xin Zhao; Yuhang Wan

doi:10.1117/12.2606990

1 November 2021 Spectral reconstruction with dictionary learning based on spatially modulated photonic crystal

Wen Miao, Chenwei Huang, Jihai Yan, Xinxuan Ma, Xin Zhao, Yuhang Wan

Author Affiliations +

Proceedings Volume 12057, Twelfth International Conference on Information Optics and Photonics; 120574N (2021) https://doi.org/10.1117/12.2606990
Event: Twelfth International Conference on Information Optics and Photonics, 2021, Xi'an, China

Abstract

Conventional spectral analysis systems with complex optical components, moving parts, and long path lengths are usually costly and bulky. As the demand of reduced size, cost, and power consumption is growing for different applications of spectral analysis, spectral reconstructive methods attracts more and more attention. However the key element of the spectral-to-spatial mapping device usually needs careful engineering and precisely fabricated. Here we propose a reconstructive system based on a spatially modulated photonic crystal made of UV-curable polymer working as the mapping device, with the advantages of low-cost, and easy-to-fabricate, and a spectral reconstruction algorithm based on Orthogonal Matching Pursuit (OMP) and dictionary learning for spectral reconstruction. Experimental results demonstrate the capability of the spectral reconstruction of the system in visible range.

Citation Download Citation

Wen Miao, Chenwei Huang, Jihai Yan, Xinxuan Ma, Xin Zhao, and Yuhang Wan "Spectral reconstruction with dictionary learning based on spatially modulated photonic crystal", Proc. SPIE 12057, Twelfth International Conference on Information Optics and Photonics, 120574N (1 November 2021); https://doi.org/10.1117/12.2606990

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