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Single-pixel imaging by means of Fourier spectrum acquisition

Author

Listed:
  • Zibang Zhang

    (Jinan University)

  • Xiao Ma

    (Jinan University)

  • Jingang Zhong

    (Jinan University
    Key Laboratory of Optoelectronic Information and Sensing Technologies of Guangdong Higher Education Institutes, Jinan University)

Abstract

Single-pixel imaging techniques enable to capture a scene without a direct line of sight to the object, but high-quality imaging has been proven challenging especially in the presence of noisy environmental illumination. Here we present a single-pixel imaging technique that can achieve high-quality images by acquiring their Fourier spectrum. We use phase-shifting sinusoid structured illumination for the spectrum acquisition. Applying inverse Fourier transform to the obtained spectrum yields the desired image. The proposed technique is capable of capturing a scene without a direct view of it. Thus, it enables a feasible placement of detectors, only if the detectors can collect the light signals from the scene. The technique is also a compressive sampling like approach, so it can reconstruct an image from sub-Nyquist measurements. We experimentally obtain clear images by utilizing a detector not placed in direct view of the imaged scene even with noise introduced by environmental illuminations.

Suggested Citation

  • Zibang Zhang & Xiao Ma & Jingang Zhong, 2015. "Single-pixel imaging by means of Fourier spectrum acquisition," Nature Communications, Nature, vol. 6(1), pages 1-6, May.
  • Handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms7225
    DOI: 10.1038/ncomms7225
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    Cited by:

    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. Yinqi Wang & Kun Huang & Jianan Fang & Ming Yan & E Wu & Heping Zeng, 2023. "Mid-infrared single-pixel imaging at the single-photon level," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    3. Xiaopeng Feng & Chenglong Li & Jinmei Song & Yuhong He & Wei Qu & Weijun Li & Keke Guo & Lulu Liu & Bai Yang & Haotong Wei, 2024. "Differential perovskite hemispherical photodetector for intelligent imaging and location tracking," Nature Communications, Nature, vol. 15(1), pages 1-9, December.

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