Opto-Electronic Engineering, Volume. 49, Issue 10, 220130(2022)
Miniature computational spectral detection technology based on correlation value selection
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
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
Fig. 3. Flow chart of our proposed methodology and traditional methodology
Fig. 4. The reconstruction fidelity produced by different metasurfaces selection design methodologies in
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. 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
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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
Category: Article
Received: Jun. 16, 2022
Accepted: --
Published Online: Dec. 12, 2022
The Author Email: Luo Xiangang (lxg@ioe.ac.cn)