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Laser & Optoelectronics Progress, Volume. 57, Issue 8, 081025(2020)

Blind Image Restoration Method Based on Reweighted Graph Total Variation and Hyper-Laplacian

Zehai Xu and Haiyan Song*
Author Affiliations
  • College of Engineering, Shanxi Agricultural University, Jinzhong, Shanxi 030801, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (11)
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    References (21)
    Cited By (3)
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    Figures & Tables(11)
    Process of the proposed blind restoration algorithm

    Fig. 1. Process of the proposed blind restoration algorithm

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    Three image blocks. (a) Clear natural image block; (b) blurred image block; (c) intermediate latent image block

    Fig. 2. Three image blocks. (a) Clear natural image block; (b) blurred image block; (c) intermediate latent image block

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    Weight distribution of three images in Fig. 2. (a) Clear natural image; (b) blurred image; (c) intermediate latent image

    Fig. 3. Weight distribution of three images in Fig. 2. (a) Clear natural image; (b) blurred image; (c) intermediate latent image

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    Comparison of blind restoration effect of blurred image of blue car. (a) Clear image; (b) blurred image; (c) restoration effect by method in Ref.[9]; (d) restoration effect by method in Ref.[14]; (e) restoration effect by proposed method

    Fig. 4. Comparison of blind restoration effect of blurred image of blue car. (a) Clear image; (b) blurred image; (c) restoration effect by method in Ref.[9]; (d) restoration effect by method in Ref.[14]; (e) restoration effect by proposed method

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    Comparison of blind restoration effect of blurred image of red car. (a) Blurred image; (b) restoration effect by method in Ref.[9]; (c) restoration effect by method in Ref.[14]; (d) restoration effect by proposed method; (e) intermediate latent image

    Fig. 5. Comparison of blind restoration effect of blurred image of red car. (a) Blurred image; (b) restoration effect by method in Ref.[9]; (c) restoration effect by method in Ref.[14]; (d) restoration effect by proposed method; (e) intermediate latent image

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    Comparison of blind restoration effect of blurred image of monkey. (a) Blurred image; (b) restoration effect by method in Ref.[9]; (c) restoration effect by method in Ref.[14]; (d) restoration effect by proposed method; (e) intermediate latent image

    Fig. 6. Comparison of blind restoration effect of blurred image of monkey. (a) Blurred image; (b) restoration effect by method in Ref.[9]; (c) restoration effect by method in Ref.[14]; (d) restoration effect by proposed method; (e) intermediate latent image

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    Comparison of blind restoration effect of blurred image of summer house. (a) Blurred image; (b) restoration effect by method in Ref.[9]; (c) restoration effect by method in Ref.[14]; (d) restoration effect by proposed method; (e) intermediate latent image

    Fig. 7. Comparison of blind restoration effect of blurred image of summer house. (a) Blurred image; (b) restoration effect by method in Ref.[9]; (c) restoration effect by method in Ref.[14]; (d) restoration effect by proposed method; (e) intermediate latent image

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    Weight distribution of Fig. 7(a) before and after restoration. (a) Weight distribution of blurred image; (b) Weight distribution of intermediate latent image; (c) Weight distribution of restored image by proposed method

    Fig. 8. Weight distribution of Fig. 7(a) before and after restoration. (a) Weight distribution of blurred image; (b) Weight distribution of intermediate latent image; (c) Weight distribution of restored image by proposed method

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    • Table 1. Blind evaluation index without reference quality of image of red car

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      Table 1. Blind evaluation index without reference quality of image of red car

      MethodInformationentropyStandarddeviationMean value
      Blurred image7.32452.1501×10390.9321
      Method in Ref.[9]7.58222.7107×10389.4635
      Method in Ref.[14]7.33932.6849×10391.3737
      Proposed method7.48752.8116×10391.4632

    • Table 2. Blind evaluation index without reference quality of image of monkey

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      Table 2. Blind evaluation index without reference quality of image of monkey

      ParameterInformationentropyStandarddeviationMean value
      Blurred image7.0363945.4009107.0265
      Method in Ref.[9]7.18591.566×103106.0104
      Method in Ref.[14]7.16281.1663×103107.9668
      Proposed method7.23251.2691×103108.6190

    • Table 3. Blind evaluation index without reference quality of image of summer house

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      Table 3. Blind evaluation index without reference quality of image of summer house

      ParameterInformationentropyStandarddeviationMean value
      Blurred image7.43033.3740×103109.9294
      Method in Ref.[9]7.54923.4198×103110.4320
      Method in Ref.[14]7.52133.6317×103110.4827
      Proposed method7.69033.8078×103110.6824
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    Zehai Xu, Haiyan Song. Blind Image Restoration Method Based on Reweighted Graph Total Variation and Hyper-Laplacian[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081025

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    Paper Information

    Category: Image Processing

    Received: Aug. 9, 2019

    Accepted: Oct. 29, 2019

    Published Online: Apr. 3, 2020

    The Author Email: Haiyan Song (yybbao@163.com)

    DOI:10.3788/LOP57.081025

    Topics

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