Laser & Optoelectronics Progress, Volume. 55, Issue 4, 041003(2018)

Adaptive Weighted Generalized Total Variation Image Deblurring Based on Primal-Dual algorithm

Aiping Yang, Yue Zhang, Jinbin Wang*, and Yuqing He
Author Affiliations
  • School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
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    Figures & Tables(5)
    Comparison of deblurred images. (a) Blurred image; (b) result of FTVD algorithm; (c) result of TV-NLR algorithm; (d) result of JSM algorithm; (e) result of the proposed algorithm; (f)-(i) detail enlarged drawing of Fig. (b)-(e)
    Comparison of deblurred images. (a) Blurred image; (b) result of FTVD algorithm; (c) result of TV-NLR algorithm; (d) result of JSM algorithm; (e) result of he proposed algorithm; (f)-(i)detail enlarged drawing of Fig. (b)-(e)
    Comparison of deblurred images. (a) Blurred image; (b) result of FTVD algorithm; (c) result of TV-NLR algorithm; (d) result of JSM algorithm; (e) result of the proposed algorithm; (f)-(i) detail enlarged drawing of Fig. (b)-(e)
    • Table 1. PSNR results comparison of four deblurred imagesdB

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      Table 1. PSNR results comparison of four deblurred imagesdB

      AlgorithmHouseLenaBarbaraModelYacht
      Union blur kernel, 9×9 σ=0.005
      FTVD36.0634.5726.6739.6236.04
      TV-NLR36.0935.5324.3540.7636.17
      JSM36.5434.2527.0139.8836.54
      Proposed47.8744.7439.5551.0549.33
      Gaussian blur kernel: (25, 1.6), σ=0.005
      FTVD34.7034.9625.8240.0734.90
      TV-NLR34.8236.1123.0740.6735.32
      JSM35.3835.5725.9441.7536.95
      Proposed38.7139.0129.7045.8141.07
      Motion blur kernel: (20, 45), σ=0.005
      FTVD36.3736.2029.8240.3936.12
      TV-NLR36.1536.2432.6640.5336.18
      JSM36.3936.0731.3441.0036.87
      Proposed50.8949.8147.6054.5252.96
    • Table 2. Time complexity comparison of four algorithmss

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      Table 2. Time complexity comparison of four algorithmss

      AlgorithmHouseLenaBarbaraModelYacht
      Union blur kernel, 9×9 σ=0.005
      FTVD3.3212.3430.787.3514.28
      TV-NLR5.2235.5345.2342.1142.07
      JSM160.77653.98688.07667.13678.09
      Proposed1.657.187.287.097.39
      Gaussian blur kernel: (25, 1.6), σ=0.005
      FTVD1.787.7825.294.8110.92
      TV-NLR14.8562.4264.1159.1758.76
      JSM177.57689.1715.12692.66702.79
      Proposed1.657.177.247.307.29
      Motion blur kernel: (20, 45), σ=0.005
      FTVD3.6013.1739.327.5615.57
      TV-NLR2.3723.7320.6020.8737.46
      JSM176.68722.444760.95703.84725.00
      Proposed1.657.187.347.347.30
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    Aiping Yang, Yue Zhang, Jinbin Wang, Yuqing He. Adaptive Weighted Generalized Total Variation Image Deblurring Based on Primal-Dual algorithm[J]. Laser & Optoelectronics Progress, 2018, 55(4): 041003

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    Paper Information

    Category: Image processing

    Received: Sep. 11, 2017

    Accepted: --

    Published Online: Sep. 11, 2018

    The Author Email: Jinbin Wang ( wjb@tju.edu.cn)

    DOI:10.3788/LOP55.041003

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