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Pixel-level Bayer-type colour router based on metasurfaces

Author

Listed:
  • Xiujuan Zou

    (Nanjing University)

  • Youming Zhang

    (Huawei Technologies Co., Ltd)

  • Ruoyu Lin

    (Nanjing University)

  • Guangxing Gong

    (Nanjing University)

  • Shuming Wang

    (Nanjing University
    Nanjing University
    Collaborative Innovation Center of Advanced Microstructures)

  • Shining Zhu

    (Nanjing University
    Nanjing University
    Collaborative Innovation Center of Advanced Microstructures)

  • Zhenlin Wang

    (Nanjing University
    Collaborative Innovation Center of Advanced Microstructures)

Abstract

The three primary colour model, i.e., red, green, and blue model, based on the colour perception of the human eye, has been widely used in colour imaging. The most common approach for obtaining colour information is to use a Bayer colour filter, which filters colour light with four pixels of an imaging sensor to form an effective colour pixel. However, its energy utilization efficiency and colour collection efficiency are limited to a low level due to the three-channel filtering nature. Here, by employing an inverse-design method, we demonstrate a pixel-level metasurface-based Bayer-type colour router that presents peak colour collection efficiencies of 58%, 59%, and 49% for red, green and blue light, and an average energy utilization efficiency as high as 84% over the visible region (400 nm–700 nm), which is twice as high as that of a commercial Bayer colour filter. Furthermore, by using a 200 µm × 200 µm metasurface-based colour router sample working with a monochromatic imaging sensor, colour imaging is further realized, obtaining an image intensity twice that achieved by a commercial Bayer colour filter. Our work innovates the mechanism of high-efficiency spectrum information acquisition, which is expected to have promising applications in the development of next-generation imaging systems.

Suggested Citation

  • Xiujuan Zou & Youming Zhang & Ruoyu Lin & Guangxing Gong & Shuming Wang & Shining Zhu & Zhenlin Wang, 2022. "Pixel-level Bayer-type colour router based on metasurfaces," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31019-7
    DOI: 10.1038/s41467-022-31019-7
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    References listed on IDEAS

    as
    1. Xingjie Ni & Alexander V. Kildishev & Vladimir M. Shalaev, 2013. "Metasurface holograms for visible light," Nature Communications, Nature, vol. 4(1), pages 1-6, December.
    2. Shuming Wang & Pin Chieh Wu & Vin-Cent Su & Yi-Chieh Lai & Cheng Hung Chu & Jia-Wern Chen & Shen-Hung Lu & Ji Chen & Beibei Xu & Chieh-Hsiung Kuan & Tao Li & Shining Zhu & Din Ping Tsai, 2017. "Broadband achromatic optical metasurface devices," Nature Communications, Nature, vol. 8(1), pages 1-9, December.
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    Cited by:

    1. Yueqiang Hu & Yuting Jiang & Yi Zhang & Xing Yang & Xiangnian Ou & Ling Li & Xianghong Kong & Xingsi Liu & Cheng-Wei Qiu & Huigao Duan, 2023. "Asymptotic dispersion engineering for ultra-broadband meta-optics," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    2. Chia-Hsiang Lin & Shih-Hsiu Huang & Ting-Hsuan Lin & Pin Chieh Wu, 2023. "Metasurface-empowered snapshot hyperspectral imaging with convex/deep (CODE) small-data learning theory," Nature Communications, Nature, vol. 14(1), pages 1-10, December.

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