• High Power Laser and Particle Beams
  • Vol. 34, Issue 11, 119002 (2022)
Xiaoshuang Mou1, Miao Li1, Xi Wang1、*, Wenkai Liang1, Feng Wang2, Yulong Li2, Zanyang Guan2, Boshan Yu1, Lei Zhang1, Yizhe Gao1, and Jiajie Zhang1
Author Affiliations
  • 1Chongqing Key Laboratory of Photoelectric Information Sensing and Transmission Technology, Chongqing University of Posts and Telecommunications, Chongqing 400000, China
  • 2Laser Fusion Research Center, CAEP, Mianyang 621900, China
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    DOI: 10.11884/HPLPB202234.220190 Cite this Article
    Xiaoshuang Mou, Miao Li, Xi Wang, Wenkai Liang, Feng Wang, Yulong Li, Zanyang Guan, Boshan Yu, Lei Zhang, Yizhe Gao, Jiajie Zhang. Single-pixel imaging system based on block smoothed projected quadratic reconstruction algorithm[J]. High Power Laser and Particle Beams, 2022, 34(11): 119002 Copy Citation Text show less
    Mathematical model of compressed sensing single-pixel imaging
    Fig. 1. Mathematical model of compressed sensing single-pixel imaging
    Quadratic reconstruction experimental system based on compressed sensing single-pixel imaging
    Fig. 2. Quadratic reconstruction experimental system based on compressed sensing single-pixel imaging
    BCS-SPL algorithm flow chart[22]
    Fig. 3. BCS-SPL algorithm flow chart[22]
    Effect of different algorithms on image reconstruction at 30% sampling rate
    Fig. 4. Effect of different algorithms on image reconstruction at 30% sampling rate
    Image reconstruction effect of SPL quadratic reconstruction model under different sampling rates
    Fig. 5. Image reconstruction effect of SPL quadratic reconstruction model under different sampling rates
    Effect of image reconstruction under different algorithms and sampling rates
    Fig. 6. Effect of image reconstruction under different algorithms and sampling rates
    algorithmSSIMPSNR/dBreconstruction time/s
    BP0.4419.1979.5
    OMP0.5322.261.4
    proposed algorithm0.7627.614.6
    Table 1. Performance comparison between different reconstruction algorithms at 30% sampling rate
    imagePSNR at different sampling rate/dBSSIM at different sampling rate
    10%20%30%10%20%30%
    “重”19.4621.6023.660.610.830.86
    “CQUPT”16.9020.4423.190.560.800.82
    rabbit18.5621.4822.700.580.810.83
    Table 2. PSNR and SSIM of reconstructed images at different sampling rates
    imagealgorithmtime at different sampling rate/s
    10%20%30%
    “重”BP161.5566.71026.1
    OMP0.91.82.9
    proposed algorithm2.63.64.7
    “CQUPT”BP155.5566.61026.1
    OMP0.91.82.9
    proposed algorithm2.53.64.8
    rabbitBP155.8589.11204.3
    OMP0.91.92.8
    proposed algorithm2.63.84.7
    Table 3. Time required for image reconstruction under different algorithms and sampling rates
    Xiaoshuang Mou, Miao Li, Xi Wang, Wenkai Liang, Feng Wang, Yulong Li, Zanyang Guan, Boshan Yu, Lei Zhang, Yizhe Gao, Jiajie Zhang. Single-pixel imaging system based on block smoothed projected quadratic reconstruction algorithm[J]. High Power Laser and Particle Beams, 2022, 34(11): 119002
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