Laser & Optoelectronics Progress, Volume. 61, Issue 16, 1611017(2024)

4D Block-Matching Polarization Image Denoising Algorithm Based on Polarization Constraints

Changji Dong1, Hedong Liu2、*, Xiaobo Li3, Zhenzhou Cheng3, Tiegen Liu2, Jingsheng Zhai3, Ruitao Zhang4, and Haofeng Hu2,3、**
Author Affiliations
  • 1Joint Research Centre for Industrialization of Marine Economic Technology, School of Marine Science and Technology, Tianjin University, Tianjin 300072, China
  • 2School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China
  • 3School of Marine Science and Technology, Tianjin University, Tianjin 300072, China
  • 4Deepinfar Ocean Technology Incorporated, Tianjin 300072, China
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    Figures & Tables(9)
    Flow chart of polarization constrained 4D block-matching polarization image denoising algorithm
    Schematic diagrams of polarization image acquisition algorithm. (a) DoFP polarization imager and micro-polarizer array; (b) schematic diagram of acquisition device
    Polarimetric image denoising results. (a) Metal coin; (b) plastic doll
    PSNR under different noise standard deviations. (a) S0 image; (b) DoLP image; (c) AoP image
    Denoising performance on real noisy image with different parameters (L1,L2)
    • Table 1. Average PSNR of different algorithms in terms of S0, DoLP, and AoP

      View table

      Table 1. Average PSNR of different algorithms in terms of S0, DoLP, and AoP

      AlgorithmS0DoLPAoP
      Input31.2718.8011.41
      Mean34.5029.7715.81
      Median34.1629.1315.34
      Wavelet35.2128.8216.07
      KSVD35.6530.0115.98
      BM3D37.0032.1717.28
      Proposed algorithm40.1733.7418.04
    • Table 2. Average SSIM of different algorithms in terms of S0, DoLP, and AoP

      View table

      Table 2. Average SSIM of different algorithms in terms of S0, DoLP, and AoP

      AlgorithmS0DoLPAoP
      Input0.7060.4790.187
      Mean0.8970.8240.228
      Median0.8930.8440.202
      Wavelet0.9010.8500.245
      KSVD0.9430.8980.373
      BM3D0.9820.9290.416
      Proposed algorithm0.9930.9510.459
    • Table 3. PSNR/SSIM performances and execution times of PBM4D with different L1

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      Table 3. PSNR/SSIM performances and execution times of PBM4D with different L1

      Indicator8163264
      PSNR /dB25.426.527.727.8
      SSIM0.390.500.740.75
      Time /s71463420
    • Table 4. PSNR/SSIM performances and execution times of PBM4D with different L2

      View table

      Table 4. PSNR/SSIM performances and execution times of PBM4D with different L2

      Indicator81632
      PSNR /dB27.727.827.8
      SSIM0.740.760.77
      Time /s63109419
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    Changji Dong, Hedong Liu, Xiaobo Li, Zhenzhou Cheng, Tiegen Liu, Jingsheng Zhai, Ruitao Zhang, Haofeng Hu. 4D Block-Matching Polarization Image Denoising Algorithm Based on Polarization Constraints[J]. Laser & Optoelectronics Progress, 2024, 61(16): 1611017

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    Paper Information

    Category: Imaging Systems

    Received: Dec. 11, 2023

    Accepted: Mar. 12, 2024

    Published Online: Aug. 8, 2024

    The Author Email: Hedong Liu (herb@tju.edu.cn), Haofeng Hu (haofeng_hu@tju.edu.cn)

    DOI:10.3788/LOP232642

    CSTR:32186.14.LOP232642

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