Journal of Applied Optics, Volume. 43, Issue 6, 1075(2022)

Mixed noise removal algorithm of EBAPS image under low illumination condition based on FPGA

Haotian XIA... Yunsheng QIAN*, Yilun WANG and Yizheng LANG |Show fewer author(s)
Author Affiliations
  • College of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology, Nanjing 210094, China
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    Figures & Tables(24)
    Design diagram of overall framework for system
    Flow chart of algorithm module
    Diagram of 3×3 template generation
    Diagram of 3×3 matrix mapping
    Flow chart of minimum four-direction differences
    Flow chart of fast median filter module
    Flow chart of edge detection module
    Diagram of gaussian filter template
    Diagram of simulation test
    Comparison diagram of denoising results of illuminance 1
    Comparison diagram of denoising results of illuminance 2
    Comparison diagram of denoising results of illuminance 3
    Hardware device and its internal structure diagram
    High-voltage power supply and illuminometer
    Comparison of experimental results of static targets
    Comparison of experimental results of static SF graphics
    Comparison of experimental results of external environment at night
    Comparison of experimental results of moving targets
    Image processing running time of simulation software
    Image processing running time of FPGA
    • Table 1. Evaluation results of test map after denoising of illuminance 1

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      Table 1. Evaluation results of test map after denoising of illuminance 1

      滤波算法LenaGoldhillPepper
      PSNRSSIMEPIPSNRSSIMEPIPSNRSSIMEPI
      噪声图21.499 40.294 20.906 421.385 50.412 40.911 921.361 20.322 50.924 4
      中值滤波31.966 50.514 30.990 629.479 40.588 50.984 831.131 60.490 20.991 3
      高斯滤波28.930 40.460 00.980 927.960 80.570 80.978 328.330 80.452 90.983 4
      文献[24]29.537 00.450 80.983 828.520 80.588 30.981 328.875 00.467 00.985 6
      文献[25]28.824 40.519 30.986 927.398 70.616 40.983 127.562 00.494 50.987 0
      本文算法33.006 80.583 20.993 631.176 60.685 40.989 732.237 30.560 40.993 3
    • Table 2. Evaluation results of test map after denoising of illuminance 2

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      Table 2. Evaluation results of test map after denoising of illuminance 2

      滤波算法LenaGoldhillPepper
      PSNRSSIMEPIPSNRSSIMEPIPSNRSSIMEPI
      噪声图21.131 30.164 50.796 321.633 60.225 30.752 021.848 40.177 30.787 9
      中值滤波28.558 60.401 00.984 033.145 60.479 30.974 033.880 70.378 80.981 7
      高斯滤波27.195 80.322 80.955 729.416 40.407 50.940 129.759 30.317 60.953 2
      文献[24]27.253 90.304 60.966 930.225 40.409 20.951 430.282 30.307 10.959 8
      文献[25]28.669 00.409 10.979 431.267 90.501 60.969 130.906 60.377 30.973 3
      本文算法28.737 50.442 10.987 234.417 50.567 10.980 634.791 60.431 00.985 2
    • Table 3. Evaluation results of test map after denoising of illuminance 3

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      Table 3. Evaluation results of test map after denoising of illuminance 3

      滤波算法LenaGoldhillPepper
      PSNRSSIMEPIPSNRSSIMEPIPSNRSSIMEPI
      噪声图21.644 90.126 40.608 421.617 50.194 00.674 521.549 40.138 90.653 9
      中值滤波35.779 90.345 50.968 834.227 30.451 80.968 535.414 40.342 80.974 0
      高斯滤波29.757 10.260 30.888 729.529 60.365 90.913 529.631 20.261 90.908 9
      文献[24]31.664 70.257 50.925 731.170 10.374 80.940 031.350 60.267 50.937 8
      文献[25]34.312 50.354 40.962 232.972 50.482 40.964 633.657 70.350 50.967 3
      本文算法36.776 00.387 90.975 235.399 40.531 80.975 936.527 80.388 70.979 9
    • Table 4. Consistency test of objective evaluation of simulation software and FPGA algorithm

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      Table 4. Consistency test of objective evaluation of simulation software and FPGA algorithm

      参数PSNRSSIMEPI
      仿真软件FPGA误差/%仿真软件FPGA误差/%仿真软件FPGA误差/%
      靶标1×10−1 lx32.606 732.384 30.680.604 60.647 76.650.958 30.993 43.53
      靶标1×10−2 lx30.476 230.384 30.300.529 70.577 08.200.931 50.955 02.46
      靶标1×10−3 lx34.291 634.168 50.360.527 50.564 66.570.930 20.938 10.84
      SF 1×10−1 lx33.197 833.047 70.450.563 60.605 36.890.982 90.995 51.27
      SF 1×10−2 lx30.779 730.604 90.570.535 40.554 93.510.907 80.968 66.28
      SF 1×10−3 lx35.385 035.668 30.790.505 60.561 19.890.933 70.960 12.75
      夜晚外部环境35.004 335.368 41.030.617 80.635 32.750.989 20.997 00.78
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    Haotian XIA, Yunsheng QIAN, Yilun WANG, Yizheng LANG. Mixed noise removal algorithm of EBAPS image under low illumination condition based on FPGA[J]. Journal of Applied Optics, 2022, 43(6): 1075

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    Paper Information

    Category: Research Articles

    Received: Aug. 1, 2022

    Accepted: --

    Published Online: Nov. 18, 2022

    The Author Email:

    DOI:10.5768/JAO202243.0604006

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