Acta Optica Sinica, Volume. 42, Issue 22, 2211002(2022)

Ghost Imaging Denoising Based on Mean Filtering

Jiahui Zheng, Xiaodi Yu, Shengmei Zhao*, and Le Wang
Author Affiliations
  • Institute of Signal Processing and Transmission, Nanjing University of Posts and Telecommunications, Nanjing 210003, Jiangsu , China
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    Figures & Tables(7)
    Schematic diagram for ghost imaging denoising method based on mean filtering
    Experimental setup for ghost imaging denoising scheme based on mean filtering
    Comparison between simulation results and experimental results for ghost imaging denoising scheme based on mean filtering
    Image denoising effect under different template sizes
    Three image quality evaluation indexes varying with noise variance under Gaussian noise environment. (a) PSNR; (b) SNR;(c) SSIM
    Three image quality evaluation indexes varying with noise variance under salt and pepper noise environment. (a) PSNR;(b) SNR; (c) SSIM
    • Table 1. Comparison of denoising effect under Gaussian noise and salt and pepper noise with noise variance of 0.4

      View table

      Table 1. Comparison of denoising effect under Gaussian noise and salt and pepper noise with noise variance of 0.4

      TypePSNR /dBSNR /dBSSIM
      Simulation resultExperimental resultSimulation resultExperimental resultSimulation resultExperimental result
      Gaussian noise10.82239.73815.77084.68660.24730.1843

      Salt and

      pepper noise

      11.249510.12826.19805.07670.26000.1963
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    Jiahui Zheng, Xiaodi Yu, Shengmei Zhao, Le Wang. Ghost Imaging Denoising Based on Mean Filtering[J]. Acta Optica Sinica, 2022, 42(22): 2211002

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    Paper Information

    Category: Imaging Systems

    Received: Apr. 28, 2022

    Accepted: May. 23, 2022

    Published Online: Nov. 7, 2022

    The Author Email: Zhao Shengmei (zhaosm@njupt.edu.cn)

    DOI:10.3788/AOS202242.2211002

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