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A compressive hyperspectral video imaging system using a single-pixel detector

Author

Listed:
  • Yibo Xu

    (Beijing Institute of Technology)

  • Liyang Lu

    (Google Inc.)

  • Vishwanath Saragadam

    (Rice University)

  • Kevin F. Kelly

    (Rice University)

Abstract

Capturing fine spatial, spectral, and temporal information of the scene is highly desirable in many applications. However, recording data of such high dimensionality requires significant transmission bandwidth. Current computational imaging methods can partially address this challenge but are still limited in reducing input data throughput. In this paper, we report a video-rate hyperspectral imager based on a single-pixel photodetector which can achieve high-throughput hyperspectral video recording at a low bandwidth. We leverage the insight that 4-dimensional (4D) hyperspectral videos are considerably more compressible than 2D grayscale images. We propose a joint spatial-spectral capturing scheme encoding the scene into highly compressed measurements and obtaining temporal correlation at the same time. Furthermore, we propose a reconstruction method relying on a signal sparsity model in 4D space and a deep learning reconstruction approach greatly accelerating reconstruction. We demonstrate reconstruction of 128 × 128 hyperspectral images with 64 spectral bands at more than 4 frames per second offering a 900× data throughput compared to conventional imaging, which we believe is a first-of-its kind of a single-pixel-based hyperspectral imager.

Suggested Citation

  • Yibo Xu & Liyang Lu & Vishwanath Saragadam & Kevin F. Kelly, 2024. "A compressive hyperspectral video imaging system using a single-pixel detector," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-45856-1
    DOI: 10.1038/s41467-024-45856-1
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    References listed on IDEAS

    as
    1. Patrick Kilcullen & Tsuneyuki Ozaki & Jinyang Liang, 2022. "Compressed ultrahigh-speed single-pixel imaging by swept aggregate patterns," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    2. Evgeny Hahamovich & Sagi Monin & Yoav Hazan & Amir Rosenthal, 2021. "Single pixel imaging at megahertz switching rates via cyclic Hadamard masks," Nature Communications, Nature, vol. 12(1), pages 1-6, December.
    3. Ming-Jie Sun & Matthew P. Edgar & Graham M. Gibson & Baoqing Sun & Neal Radwell & Robert Lamb & Miles J. Padgett, 2016. "Single-pixel three-dimensional imaging with time-based depth resolution," Nature Communications, Nature, vol. 7(1), pages 1-6, November.
    4. Zhu Wang & Soongyu Yi & Ang Chen & Ming Zhou & Ting Shan Luk & Anthony James & John Nogan & Willard Ross & Graham Joe & Alireza Shahsafi & Ken Xingze Wang & Mikhail A. Kats & Zongfu Yu, 2019. "Single-shot on-chip spectral sensors based on photonic crystal slabs," Nature Communications, Nature, vol. 10(1), pages 1-6, December.
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