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Laser & Optoelectronics Progress, Volume. 56, Issue 9, 091005(2019)

Scale-Perception Image Denoising Algorithm Based on Residual Learning

Huan Chen1,2 and Qingjiang Chen2、*
Author Affiliations
  • 1 Department of Fundamentals, Shaanxi Institute of International Trade & Commerce, Xianyang, Shaanxi 712046, China;
  • 2 School of Science, Xi'an University of Architecture and Technology, Xi'an, Shaanxi 710055, China
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    References (17)
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    Figures & Tables(9)
    Results of scale-perception and edge-protection filter acting on one-dimensional signals. (a)(b) Partial structures of one-dimensional signal I; (c)(d) result after one filtering process, R1; (e)(f) result after two filtering processes, R2; (g)(h) result after three filtering processes, R3

    Fig. 1. Results of scale-perception and edge-protection filter acting on one-dimensional signals. (a)(b) Partial structures of one-dimensional signal I; (c)(d) result after one filtering process, R1; (e)(f) result after two filtering processes, R2; (g)(h) result after three filtering processes, R3

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    Network structure of residual learning

    Fig. 2. Network structure of residual learning

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    Framework of denoising algorithm

    Fig. 3. Framework of denoising algorithm

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    Denoising results for image Butterfly under different algorithms. (a) Image Butterfly; (b) noise image; (c) DWT algorithm; (d) CNC algorithm; (e) NLM algorithm; (f) BM3D algorithm; (g) EPLL algorithm; (h) proposed algorithm

    Fig. 4. Denoising results for image Butterfly under different algorithms. (a) Image Butterfly; (b) noise image; (c) DWT algorithm; (d) CNC algorithm; (e) NLM algorithm; (f) BM3D algorithm; (g) EPLL algorithm; (h) proposed algorithm

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    Denoising results for image Lena under different algorithms. (a) Image Lena; (b) noise image; (c) DWT algorithm; (d) CNC algorithm; (e) NLM algorithm; (f) BM3D algorithm; (g) EPLL algorithm; (h) proposed algorithm

    Fig. 5. Denoising results for image Lena under different algorithms. (a) Image Lena; (b) noise image; (c) DWT algorithm; (d) CNC algorithm; (e) NLM algorithm; (f) BM3D algorithm; (g) EPLL algorithm; (h) proposed algorithm

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    Denoising results for image Man under different algorithms. (a) Image Man; (b) noise image; (c) DWT algorithm; (d) CNC algorithm; (e) NLM algorithm; (f) BM3D algorithm; (g) EPLL algorithm; (h) proposed algorithm

    Fig. 6. Denoising results for image Man under different algorithms. (a) Image Man; (b) noise image; (c) DWT algorithm; (d) CNC algorithm; (e) NLM algorithm; (f) BM3D algorithm; (g) EPLL algorithm; (h) proposed algorithm

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    Denoising results for image Pepper under different algorithms. (a) Image Pepper; (b) noise image; (c) DWT algorithm; (d) CNC algorithm; (e) NLM algorithm; (f) BM3D algorithm; (g) EPLL algorithm; (h) proposed algorithm

    Fig. 7. Denoising results for image Pepper under different algorithms. (a) Image Pepper; (b) noise image; (c) DWT algorithm; (d) CNC algorithm; (e) NLM algorithm; (f) BM3D algorithm; (g) EPLL algorithm; (h) proposed algorithm

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    • Table 1. Comparison of PSNR values of test images under different algorithmsdB

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      Table 1. Comparison of PSNR values of test images under different algorithmsdB

      AlgorithmImage
      ButterflyLenaManPepper
      DWT16.881719.107918.142319.0933
      CNC22.942127.558724.319427.8372
      NLM23.666025.280723.962125.8773
      BM3D24.785628.791925.184229.1196
      EPLL25.108828.387925.314228.8953
      Proposed28.017930.878127.288731.2700

    • Table 2. Comparison of SSIM values of test images under different algorithmsdB

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      Table 2. Comparison of SSIM values of test images under different algorithmsdB

      AlgorithmImage
      ButterflyLenaManPepper
      DWT0.59450.73970.62450.7784
      CNC0.75060.80850.74450.8430
      NLM0.68810.71400.74350.7507
      BM3D0.82210.82610.79000.8463
      EPLL0.82480.80470.79150.8365
      Proposed0.87570.87830.87600.9002
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    Huan Chen, Qingjiang Chen. Scale-Perception Image Denoising Algorithm Based on Residual Learning[J]. Laser & Optoelectronics Progress, 2019, 56(9): 091005

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    Paper Information

    Category: Image Processing

    Received: Nov. 3, 2018

    Accepted: Dec. 6, 2018

    Published Online: Jul. 5, 2019

    The Author Email: Qingjiang Chen (404787245@qq.com)

    DOI:10.3788/LOP56.091005

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology