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Photon-efficient imaging with a single-photon camera

Author

Listed:
  • Dongeek Shin

    (Research Laboratory of Electronics, Massachusetts Institute of Technology)

  • Feihu Xu

    (Research Laboratory of Electronics, Massachusetts Institute of Technology)

  • Dheera Venkatraman

    (Research Laboratory of Electronics, Massachusetts Institute of Technology)

  • Rudi Lussana

    (Dip. Elettronica, Informazione e Bioingegneria, Politecnico di Milano)

  • Federica Villa

    (Dip. Elettronica, Informazione e Bioingegneria, Politecnico di Milano)

  • Franco Zappa

    (Dip. Elettronica, Informazione e Bioingegneria, Politecnico di Milano)

  • Vivek K. Goyal

    (Boston University)

  • Franco N. C. Wong

    (Research Laboratory of Electronics, Massachusetts Institute of Technology)

  • Jeffrey H. Shapiro

    (Research Laboratory of Electronics, Massachusetts Institute of Technology)

Abstract

Reconstructing a scene’s 3D structure and reflectivity accurately with an active imaging system operating in low-light-level conditions has wide-ranging applications, spanning biological imaging to remote sensing. Here we propose and experimentally demonstrate a depth and reflectivity imaging system with a single-photon camera that generates high-quality images from ∼1 detected signal photon per pixel. Previous achievements of similar photon efficiency have been with conventional raster-scanning data collection using single-pixel photon counters capable of ∼10-ps time tagging. In contrast, our camera’s detector array requires highly parallelized time-to-digital conversions with photon time-tagging accuracy limited to ∼ns. Thus, we develop an array-specific algorithm that converts coarsely time-binned photon detections to highly accurate scene depth and reflectivity by exploiting both the transverse smoothness and longitudinal sparsity of natural scenes. By overcoming the coarse time resolution of the array, our framework uniquely achieves high photon efficiency in a relatively short acquisition time.

Suggested Citation

  • Dongeek Shin & Feihu Xu & Dheera Venkatraman & Rudi Lussana & Federica Villa & Franco Zappa & Vivek K. Goyal & Franco N. C. Wong & Jeffrey H. Shapiro, 2016. "Photon-efficient imaging with a single-photon camera," Nature Communications, Nature, vol. 7(1), pages 1-8, November.
  • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms12046
    DOI: 10.1038/ncomms12046
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    Cited by:

    1. 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.

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