• Opto-Electronic Engineering
  • Vol. 49, Issue 10, 220130 (2022)
Gang Yang1,2, Yinghui Guo1,2,3, Mingbo Pu1,2,3, Xiong Li1,2, and Xiangang Luo1,2,*
Author Affiliations
  • 1State Key Laboratory of Optical Technologies on Nano-Fabrication and Micro-Engineering, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 2School of Optoelectronics, University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Research Center on Vector Optical Fields, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • show less
    DOI: 10.12086/oee.2022.220130 Cite this Article
    Gang Yang, Yinghui Guo, Mingbo Pu, Xiong Li, Xiangang Luo. Miniature computational spectral detection technology based on correlation value selection[J]. Opto-Electronic Engineering, 2022, 49(10): 220130 Copy Citation Text show less
    Miniature spectral detection. (a) Schematic diagram of the working principle; (b) Schematic diagram of numerous micro-spectrometers; (c) Schematic diagram of a single micro-spectrometer and transmission spectrum of a metasurface
    Fig. 1. Miniature spectral detection. (a) Schematic diagram of the working principle; (b) Schematic diagram of numerous micro-spectrometers; (c) Schematic diagram of a single micro-spectrometer and transmission spectrum of a metasurface
    Design of the metasurfaces. (a) The unit cell of the metasurfaces; (b) Schematic diagram of a single micro-spectrometer; (c) Schematic diagram of the selection of metasurfaces according to different average correlation value intervals; (d) Transmission spectra of different patterns of the metasurfaces
    Fig. 2. Design of the metasurfaces. (a) The unit cell of the metasurfaces; (b) Schematic diagram of a single micro-spectrometer; (c) Schematic diagram of the selection of metasurfaces according to different average correlation value intervals; (d) Transmission spectra of different patterns of the metasurfaces
    Flow chart of our proposed methodology and traditional methodology
    Fig. 3. Flow chart of our proposed methodology and traditional methodology
    The reconstruction fidelity produced by different metasurfaces selection design methodologies in Table 1. (a) Spectrum 1~5 in Table 1; (b) Spectrum 6~10 in Table 1; (c) The reconstruction fidelity produced by different metasurfaces selection design methodologies under spectrum5; (d) The reconstruction fidelity produced by different metasurfaces selection design methodologies under spectrum10
    Fig. 4. The reconstruction fidelity produced by different metasurfaces selection design methodologies in Table 1. (a) Spectrum 1~5 in Table 1; (b) Spectrum 6~10 in Table 1; (c) The reconstruction fidelity produced by different metasurfaces selection design methodologies under spectrum5; (d) The reconstruction fidelity produced by different metasurfaces selection design methodologies under spectrum10
    Spectral characteristic simulation verification. (a) Incident spectrum and the reconstructed spectrum with a central wavelength of 560 nm and a bandwidth of 1.8 nm; (b) Enlarged images around the central wavelength in Fig. 5(a); (c) Spectral resolution simulation verification with a central wavelength interval of 2 nm; (d) Spectral resolution simulation verification with a central wavelength interval of 3 nm; (e) Reconstruction spectrum and reconstruction fidelity of broadband spectrum 1 under different number of structures M; (f) Reconstruction spectrum and reconstruction fidelity of broadband spectrum 2 under different number of structures M
    Fig. 5. Spectral characteristic simulation verification. (a) Incident spectrum and the reconstructed spectrum with a central wavelength of 560 nm and a bandwidth of 1.8 nm; (b) Enlarged images around the central wavelength in Fig. 5(a); (c) Spectral resolution simulation verification with a central wavelength interval of 2 nm; (d) Spectral resolution simulation verification with a central wavelength interval of 3 nm; (e) Reconstruction spectrum and reconstruction fidelity of broadband spectrum 1 under different number of structures M; (f) Reconstruction spectrum and reconstruction fidelity of broadband spectrum 2 under different number of structures M
    Image spectral signals perception verification. (a), (b) Original and reconstructed image spectral signals respectively[46]; (c) Reconstruction fidelity of spectral signals generated by different metasurface design methods under different color blocks. The reconstructed spectrum 1 is produced from the metasurface structures selected using the average correlation value interval [0.1~0.3], and the reconstructed spectrum 2 is produced from the randomly selected metasurface structures
    Fig. 6. Image spectral signals perception verification. (a), (b) Original and reconstructed image spectral signals respectively[46]; (c) Reconstruction fidelity of spectral signals generated by different metasurface design methods under different color blocks. The reconstructed spectrum 1 is produced from the metasurface structures selected using the average correlation value interval [0.1~0.3], and the reconstructed spectrum 2 is produced from the randomly selected metasurface structures
    光谱本文提出方法所产生(处于不同相关性均值间隔)的信号重建保真度传统随机选择方法所产生的 信号重建保真度/% 本文方法所产生的信号 重建保真度增幅/%
    [0.1~0.3]/%[0.3~0.5]/%[0.5~0.7]/%[0.7~0.9]/%
    光谱192.3691.5886.9969.1889.203.50
    光谱293.8388.7087.5571.9589.774.52
    光谱397.6253.0148.6450.3390.847.46
    光谱498.5277.9175.0971.6590.209.22
    光谱597.0782.7479.1060.0687.1711.36
    光谱696.4192.2990.0585.0189.327.94
    光谱796.5894.4094.4885.6091.835.17
    光谱895.7589.0290.3463.2687.139.89
    光谱998.6488.0591.0583.8893.963.98
    光谱1097.5494.1082.7042.3486.6513.17
    Table 1. The reconstruction fidelity produced by different metasurfaces selection design methodologies
    Gang Yang, Yinghui Guo, Mingbo Pu, Xiong Li, Xiangang Luo. Miniature computational spectral detection technology based on correlation value selection[J]. Opto-Electronic Engineering, 2022, 49(10): 220130
    Download Citation