Infrared and Laser Engineering, Volume. 50, Issue 12, 20211061(2021)

Theory and approach of single-pixel imaging (Invited)

Xinliang Zhai... Xiaoyan Wu*, Yiwei Sun, Jianhong Shi and Guihua Zeng |Show fewer author(s)
Author Affiliations
  • Centre of Quantum Sensing and Information Processing, State Key Laboratory of Advanced Optical Communication Systems and Networks, Shanghai Jiao Tong University, Shanghai 200240, China
  • show less
    Figures & Tables(9)
    Two different imaging architecture. (a) Single-pixel imaging; (b) Computational ghost imaging
    Single-pixel imaging result with random pattern
    Random speckle generated by spinning diffuser
    Hadamard basis and simulating imaging result under 20% compression
    Fourier basis and simulating imaging result under 10% compression
    CNN based model (a) generated mask patterns (b) and imaging result under 4% compression(c)[8]
    Schematic of fast first-photon ghost imaging[71]
    Framework of computational ghost imaging based on an untrained neural network[106]
    • Table 1. Performance comparison of modulation devices in single-pixel imaging

      View table
      View in Article

      Table 1. Performance comparison of modulation devices in single-pixel imaging

      DeviceModulation rateComplexityPattern
      Spinning diffuserHighRandom
      Spinning maskHighControllable
      DMD~22 kHzLowControllable
      LED~1 MHzLowControllable
      LC-SLM<1 kHzLowControllable
      OPA~55 kHzHighRandom
      AOM~1.6 MHzHighControllable
    Tools

    Get Citation

    Copy Citation Text

    Xinliang Zhai, Xiaoyan Wu, Yiwei Sun, Jianhong Shi, Guihua Zeng. Theory and approach of single-pixel imaging (Invited)[J]. Infrared and Laser Engineering, 2021, 50(12): 20211061

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Special issue—Single-pixel imaging

    Received: Sep. 13, 2021

    Accepted: --

    Published Online: Feb. 9, 2022

    The Author Email: Wu Xiaoyan (xiaoyanwu@sjtu.edu.cn)

    DOI:10.3788/IRLA20211061

    Topics