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Handheld snapshot multi-spectral camera at tens-of-megapixel resolution

Author

Listed:
  • Weihang Zhang

    (Tsinghua University)

  • Jinli Suo

    (Tsinghua University
    Tsinghua University
    Shanghai Artificial Intelligence Laboratory)

  • Kaiming Dong

    (Tsinghua University)

  • Lianglong Li

    (Tsinghua University)

  • Xin Yuan

    (WestLake University)

  • Chengquan Pei

    (Xidian University)

  • Qionghai Dai

    (Tsinghua University
    Tsinghua University)

Abstract

Multi-spectral imaging is a fundamental tool characterizing the constituent energy of scene radiation. However, current multi-spectral video cameras cannot scale up beyond megapixel resolution due to optical constraints and the complexity of the reconstruction algorithms. To circumvent the above issues, we propose a tens-of-megapixel handheld multi-spectral videography approach (THETA), with a proof-of-concept camera achieving 65-megapixel videography of 12 wavebands within visible light range. The high performance is brought by multiple designs: We propose an imaging scheme to fabricate a thin mask for encoding spatio-spectral data using a conventional film camera. Afterwards, a fiber optic plate is introduced for building a compact prototype supporting pixel-wise encoding with a large space-bandwidth product. Finally, a deep-network-based algorithm is adopted for large-scale multi-spectral data decoding, with the coding pattern specially designed to facilitate efficient coarse-to-fine model training. Experimentally, we demonstrate THETA’s advantageous and wide applications in outdoor imaging of large macroscopic scenes.

Suggested Citation

  • Weihang Zhang & Jinli Suo & Kaiming Dong & Lianglong Li & Xin Yuan & Chengquan Pei & Qionghai Dai, 2023. "Handheld snapshot multi-spectral camera at tens-of-megapixel resolution," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-40739-3
    DOI: 10.1038/s41467-023-40739-3
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    References listed on IDEAS

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    1. Jie Bao & Moungi G. Bawendi, 2015. "A colloidal quantum dot spectrometer," Nature, Nature, vol. 523(7558), pages 67-70, July.
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