Optics and Precision Engineering, Volume. 32, Issue 14, 2299(2024)

Multilevel noise suppression network of wrapped phase in interferometry

Yun LIU*, Xiaoqiang WU, Qi KANG, Jinfeng XUE, Menglu CHEN, Bixuan ZHANG, Mingxing JIAO, and Junhong XING
Author Affiliations
  • School of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi'an710048, China
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    Figures & Tables(10)
    AFNVENet network architecture
    Dataset of wrapped phase fringe
    Noise suppression results of wrapped phases by five denoising algorithms
    Results of multilevel noise suppression for wrapped phases by AFNVENet
    Results of unwrapped phases without and with noise
    Unwrapped phase results after noise suppression by five denoising algorithms
    Comparison of phase unwrapped results of target lines in resolution plate
    • Table 1. Evaluation of noise suppression results of wrapped phases by four models

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      Table 1. Evaluation of noise suppression results of wrapped phases by four models

      模型AFNBVEM噪声等级Parameter CountPSNR/dBSSIMSSIInference time/rad
      FFDNet××σ= 0.6486 98025.820.950.97121
      σ= 1.021.820.940.99121
      σ= 2.019.940.911.01115
      Model 1×σ= 0.6486 98626.210.961.02122
      σ= 1.022.140.950.97121
      σ= 2.020.920.941.03117
      Model 2×σ= 0.62 221 77126.330.970.99119
      σ= 1.022.830.950.99124
      σ= 2.020.640.941.02120
      AFNVENetσ= 0.62 221 77727.020.980.94121
      σ= 1.023.580.970.95118
      σ= 2.021.870.950.98120
    • Table 2. Evaluation of noise suppression results of wrapped phases by five denoising algorithms

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      Table 2. Evaluation of noise suppression results of wrapped phases by five denoising algorithms

      去噪方法噪声等级PSNR/dBSSIMSSIInference time/ms
      SCAFσ= 0.67.630.331.14360
      σ= 1.08.240.111.31366
      σ= 2.08.190.201.741 243
      NLMσ= 0.616.090.821.0125 638
      σ= 1.014.260.630.9923 990
      σ= 2.012.90.501.3923 864
      KSVDσ= 0.617.440.770.913 874 781
      σ= 1.015.620.670.803 875 228
      σ= 2.013.370.510.843 880 304
      DnCNNσ= 0.625.230.960.96220
      σ= 1.021.940.940.98235
      σ= 2.019.960.901.01222
      AFNVENetσ= 0.627.020.980.94121
      σ= 1.023.580.970.95118
      σ= 2.021.870.950.98120
    • Table 3. Evaluation of noise suppression results of unwrapped phases by five denoising algorithms

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      Table 3. Evaluation of noise suppression results of unwrapped phases by five denoising algorithms

      噪声

      等级

      SCAFNLMKSVDDnCNNAFNVENet
      σ=0.62.610.981.270.340.28
      σ=1.02.431.211.540.560.41
      σ=2.02.461.421.870.600.26
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    Yun LIU, Xiaoqiang WU, Qi KANG, Jinfeng XUE, Menglu CHEN, Bixuan ZHANG, Mingxing JIAO, Junhong XING. Multilevel noise suppression network of wrapped phase in interferometry[J]. Optics and Precision Engineering, 2024, 32(14): 2299

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    Paper Information

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    Received: Jan. 24, 2024

    Accepted: --

    Published Online: Sep. 27, 2024

    The Author Email: Yun LIU (lyun@xaut.edu.cn)

    DOI:10.37188/OPE.20243214.2299

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