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Laser & Optoelectronics Progress, Volume. 61, Issue 18, 1837002(2024)

Deblurring Light Field Images Based on Local Maximum Gradient and Minimum Intensity Priors

Zongchen Zhao1,2,3, Chunyu Liu1,3、*, Minglin Xu1,3, Yuxin Zhang1,3, Shuai Liu1,3, and Huiling Hu1,2,3
Author Affiliations
  • 1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, Jilin, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Key Laboratory of Space-Based Dynamic Fast Optical Imaging Technology, Chinese Academy of Sciences, Changchun 130033, Jilin China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (10)
    Equations (29)
    References (29)
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    Figures & Tables(10)
    Structure of light field imaging system

    Fig. 1. Structure of light field imaging system

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    Light field camera parameters and images. (a) Parameters of light field camera; (b) remote sensing image in the UMLUD dataset; (c) raw image of light field; (d) light field sub-aperture image

    Fig. 2. Light field camera parameters and images. (a) Parameters of light field camera; (b) remote sensing image in the UMLUD dataset; (c) raw image of light field; (d) light field sub-aperture image

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    Correspondence between refocusing image of light field and Laplace operator

    Fig. 3. Correspondence between refocusing image of light field and Laplace operator

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    Refocus processed images sequence

    Fig. 4. Refocus processed images sequence

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    Dataset image and image taken by real cameras. (a) Image taken by real camera; (b) remote sensing image of the UMLUD dataset

    Fig. 5. Dataset image and image taken by real cameras. (a) Image taken by real camera; (b) remote sensing image of the UMLUD dataset

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    The images processed by each deblurring algorithm. (a) Light field real blurred image; (b) real image processed by DCP;(c) real image processed by L0; (d) real image processed by PMP; (e) real image processed by NLC; (f) real image processed by proposed algorithm; (g) UMLUD remote sensing blurred image; (h) remote sensing image processed by DCP; (i) remote sensing image processed by L0; (j) remote sensing image processed by PMP; (k) remote sensing image processed by NLC; (l) remote sensing image processed by proposed algorithm

    Fig. 6. The images processed by each deblurring algorithm. (a) Light field real blurred image; (b) real image processed by DCP;(c) real image processed by L0; (d) real image processed by PMP; (e) real image processed by NLC; (f) real image processed by proposed algorithm; (g) UMLUD remote sensing blurred image; (h) remote sensing image processed by DCP; (i) remote sensing image processed by L0; (j) remote sensing image processed by PMP; (k) remote sensing image processed by NLC; (l) remote sensing image processed by proposed algorithm

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    Image evaluation indicators of each algorithm on Levin dataset. (a) Error ratio curves; (b) PSNR; (c) SSIM; (d) Laplace

    Fig. 7. Image evaluation indicators of each algorithm on Levin dataset. (a) Error ratio curves; (b) PSNR; (c) SSIM; (d) Laplace

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    Algorithm convergence test. (a) Convergence curve of proposed algorithm on the energy equation; (b) convergence curve of proposed algorithm on kernel similarity

    Fig. 8. Algorithm convergence test. (a) Convergence curve of proposed algorithm on the energy equation; (b) convergence curve of proposed algorithm on kernel similarity

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    • Table 1. Image evaluation index after deblurring for real images and UMLUD remote sensing images

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      Table 1. Image evaluation index after deblurring for real images and UMLUD remote sensing images

      AlgorithmReal imageUMLUD remote sensing image
      PSNRLaplaceSSIMPSNRLaplaceSSIM
      DCP18.76390.81940.943321.01890.62070.9569
      L020.72240.87520.926821.57440.41250.9565
      PMP20.55360.83520.935722.43950.65120.9653
      NLC20.98670.85390.941322.29160.59390.9636
      Proposed algorithm20.77030.88210.943822.65590.71260.9676

    • Table 2. The running time of each algorithm for processing images of different size

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      Table 2. The running time of each algorithm for processing images of different size

      Algorithm125×125255×255600×600
      DC34.72109.25565.70
      L07.6516.1095.57
      PMP5.7818.75103.44
      NLC15.5952.41366.94
      Proposed algorithm13.3646.04295.03
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    Zongchen Zhao, Chunyu Liu, Minglin Xu, Yuxin Zhang, Shuai Liu, Huiling Hu. Deblurring Light Field Images Based on Local Maximum Gradient and Minimum Intensity Priors[J]. Laser & Optoelectronics Progress, 2024, 61(18): 1837002

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    Paper Information

    Category: Digital Image Processing

    Received: Dec. 7, 2023

    Accepted: Jan. 23, 2024

    Published Online: Sep. 14, 2024

    The Author Email: Chunyu Liu (Mmliucy@163.com)

    DOI:10.3788/LOP232626

    CSTR:32186.14.LOP232626

    Topics

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