Infrared and Laser Engineering, Volume. 49, Issue 8, 20200001(2020)

Blur kernel region estimation and space variant restoration based on weighted L1 norm measure

Hanyu Hong1... Jun Zhao2, Yu Shi1,* and Shikang Wu1 |Show fewer author(s)
Author Affiliations
  • 1Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan 430205, China
  • 2School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, China
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    Figures & Tables(13)
    Comparison of gradient
    8 neighborhood direction codes of point P
    Determined region for kernel estimation
    Schematic diagram of image expansion
    Multiple region for kernel estimation
    Flowchart of space-invariant image restoration
    Flowchart of space-variant image restoration
    Comparison of restoration results of degraded images of ground targets
    Comparison of PSNR and SSIM
    Comparison of restoration results of degraded images of real air and surface targets
    Results of space-variant image restoration
    • Table 1.

      Comparison of the kernel similarity

      核相似性对比

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      Table 1.

      Comparison of the kernel similarity

      核相似性对比

      ImagesShanKrishnanProposed
      Church0.91730.91870.9664
      Airplane0.95110.94540.9615
      Harbor0.96820.94410.9729
      Power station0.90400.93610.9660
      Intersection0.83630.94070.9711
    • Table 2.

      Comparison of blur kernel estimation time

      模糊核估计耗时对比

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      View in Article

      Table 2.

      Comparison of blur kernel estimation time

      模糊核估计耗时对比

      ImagesShanKrishnanProposed
      256×25613.284 s5.161 s3.350 s
      320×24016.362 s5.773 s5.621 s
      512×51219.726 s17.901 s9.694 s
      630×46026.213 s22.533 s9.885 s
      1 080×1 44083.221 s53.417 s28.925 s
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    Hanyu Hong, Jun Zhao, Yu Shi, Shikang Wu. Blur kernel region estimation and space variant restoration based on weighted L1 norm measure[J]. Infrared and Laser Engineering, 2020, 49(8): 20200001

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    Paper Information

    Category: 图像处理

    Received: Jan. 1, 2020

    Accepted: --

    Published Online: Dec. 31, 2020

    The Author Email: Shi Yu (shiyu0125@163.com)

    DOI:10.3788/IRLA20200001

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