• Laser & Optoelectronics Progress
  • Vol. 58, Issue 10, 1011016 (2021)
Fan Liu1、3、†, Xuri Yao1、2、*†, Xuefeng Liu1、3、**, and Guangjie Zhai1、3
Author Affiliations
  • 1Key Laboratory of Electronics and Information Technology for Space Systems, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
  • 2School of Physics, Beijing Institute of Technology, Beijing 100081, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
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    DOI: 10.3788/LOP202158.1011016 Cite this Article Set citation alerts
    Fan Liu, Xuri Yao, Xuefeng Liu, Guangjie Zhai. Single-Photon Time-Resolved Imaging Spectroscopy Based on Compressed Sensing[J]. Laser & Optoelectronics Progress, 2021, 58(10): 1011016 Copy Citation Text show less
    Experimental setup for single-photon imaging with compressive sensing[30]
    Fig. 1. Experimental setup for single-photon imaging with compressive sensing[30]
    Experimental results of single-photon imaging based on compressed sensing. (a) Compressive imaging results based on 0-1 matrices; (b) compressive imaging results based on complementary matrices; (c) imaging results based on point scanning; (d) single-photon imaging SNR as functions of number of effective photons[31]
    Fig. 2. Experimental results of single-photon imaging based on compressed sensing. (a) Compressive imaging results based on 0-1 matrices; (b) compressive imaging results based on complementary matrices; (c) imaging results based on point scanning; (d) single-photon imaging SNR as functions of number of effective photons[31]
    Experimental setup for spectral compressive sensing measurement[32]
    Fig. 3. Experimental setup for spectral compressive sensing measurement[32]
    Reconstruction results for 632.8-nm wavelength monochromatic light under different measurement methods[32]. (a) Non-negative matrix measurement; (b) mean subtraction process; (c) complementary matrix measurement; (d) original spectrum detected by a CCD under strong light
    Fig. 4. Reconstruction results for 632.8-nm wavelength monochromatic light under different measurement methods[32]. (a) Non-negative matrix measurement; (b) mean subtraction process; (c) complementary matrix measurement; (d) original spectrum detected by a CCD under strong light
    Experimental setup of spectral imaging with a spectrometer[33]
    Fig. 5. Experimental setup of spectral imaging with a spectrometer[33]
    Spectral imaging results of compressive sensing based on a spectrometer[33]. (a) Transmission spectrum of the object; (b1)-(b7) reconstructed images under different wavelengths; (b8) imaging result under full-rangewavelength
    Fig. 6. Spectral imaging results of compressive sensing based on a spectrometer[33]. (a) Transmission spectrum of the object; (b1)-(b7) reconstructed images under different wavelengths; (b8) imaging result under full-rangewavelength
    Experimental setup of spectral imaging system with dual compressed sensing[35]
    Fig. 7. Experimental setup of spectral imaging system with dual compressed sensing[35]
    Working time sequences of the dual-DMDs and PMT[35]
    Fig. 8. Working time sequences of the dual-DMDs and PMT[35]
    Experimental results of spectral imaging based on cascade compressed sensing[35]. (a) Spectrum lines under different spatial modulations; (b) intensity fluctuations with different wavelengths of 530nm, 610nm, and all-spectrum; (c) imaging results with different wavelengths of 530nm, 610nm, and all-spectrum
    Fig. 9. Experimental results of spectral imaging based on cascade compressed sensing[35]. (a) Spectrum lines under different spatial modulations; (b) intensity fluctuations with different wavelengths of 530nm, 610nm, and all-spectrum; (c) imaging results with different wavelengths of 530nm, 610nm, and all-spectrum
    Physical and structural drawings of rearranged fiber bundles
    Fig. 10. Physical and structural drawings of rearranged fiber bundles
    Schematic of single-pixel 3D laser radar system[36]
    Fig. 11. Schematic of single-pixel 3D laser radar system[36]
    Reconstruction results of single pixel lidar affected by stacking effect[36]. (a) Reconstruction results of “N”; (b) reconstruction results of “T”
    Fig. 12. Reconstruction results of single pixel lidar affected by stacking effect[36]. (a) Reconstruction results of “N”; (b) reconstruction results of “T”
    Corrected image affected by stacking effect[36]
    Fig. 13. Corrected image affected by stacking effect[36]
    Reconstruction result of the sparse matrix measurement[36]. (a) Number of “1” in each pattern is 1000; (b) number of “1” in each pattern is 500; (c) number of “1” in each pattern is 100; (d) number of “1” in each pattern is 50
    Fig. 14. Reconstruction result of the sparse matrix measurement[36]. (a) Number of “1” in each pattern is 1000; (b) number of “1” in each pattern is 500; (c) number of “1” in each pattern is 100; (d) number of “1” in each pattern is 50
    Single-photon time-resolved imaging spectrometer
    Fig. 15. Single-photon time-resolved imaging spectrometer
    ParameterValue
    Spectral response range/nm350—1800
    Imaging pixel1024×768
    Imaging resolution/(nm×nm)300×300
    Maximum spectral resolution/nm1
    Time measurement resolution/ps100
    Range of time measurement/μs0.06—5000
    Table 1. Key performance indicators of single-photon time-resolved imaging spectrometer
    Fan Liu, Xuri Yao, Xuefeng Liu, Guangjie Zhai. Single-Photon Time-Resolved Imaging Spectroscopy Based on Compressed Sensing[J]. Laser & Optoelectronics Progress, 2021, 58(10): 1011016
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