• Laser & Optoelectronics Progress
  • Vol. 57, Issue 8, 081025 (2020)
Zehai Xu and Haiyan Song*
Author Affiliations
  • College of Engineering, Shanxi Agricultural University, Jinzhong, Shanxi 030801, China
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    DOI: 10.3788/LOP57.081025 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Process of the proposed blind restoration algorithm
    Fig. 1. Process of the proposed blind restoration algorithm
    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
    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
    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
    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
    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
    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
    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
    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 1. Blind evaluation index without reference quality of image of red car
    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 2. Blind evaluation index without reference quality of image of monkey
    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
    Table 3. Blind evaluation index without reference quality of image of summer house
    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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