Acta Photonica Sinica, Volume. 52, Issue 4, 0410004(2023)

Light Field All-in-focus Image Fusion Based on MDLatLRR and KPCA

Zefeng HUANG... Shen YANG*, Huiping DENG and Qingson LI |Show fewer author(s)
Author Affiliations
  • School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China
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    Figures & Tables(15)
    Digital refocusing parameterization model of light field image
    Full-focus image fusion algorithm flow of light field based on multi-scale latent low-rank decomposition
    Results of three-scale latent low-rank decomposition
    Local step difference weighting method
    Multi-scale iterative significance detection algorithm
    Score of salient matrix under different iterations
    Framework of eigencoefficient matrix fusion algorithm based on kernel principal component analysis
    Four groups of light field refocusing images and corresponding focusing decision map
    The total focusing decision map of each refocusing image and the corresponding all-in-focus image are displayed
    LoveLocks image fusion results comparison
    Edelweiss image fusion results comparison
    • Table 1. Objective index comparison of LoveLocks image on seven fusion algorithms

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      Table 1. Objective index comparison of LoveLocks image on seven fusion algorithms

      SF↑Var↑QcvQcbQabfMI↑EN↑EI↑CE↓AG↑
      RW9.0946.3192.780.730.7755.277.08932.020.09829.28
      f-PCNN9.4948.90212.270.680.7564.387.18034.110.01131.22
      IFCNN9.0948.47137.860.590.6024.057.17532.750.01429.95
      MGFF8.7751.02412.630.590.7053.717.14833.110.09230.34
      MST9.5449.04111.510.700.7624.637.16434.050.01431.15
      CSR9.0848.3490.760.690.7334.877.14532.150.01029.46
      M&P9.5150.2892.730.770.7635.657.15133.190.00830.38
    • Table 2. Objective index comparison of Edelweiss images on seven fusion algorithms

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      Table 2. Objective index comparison of Edelweiss images on seven fusion algorithms

      SF↑Var↑QcvQcbQabfMI↑EN↑EI↑CE↓AG↑
      RW21.8071.1384.850.800.8384.897.95577.660.08869.26
      f-PCNN22.0270.65118.670.750.8213.377.96379.110.07070.54
      IFCNN22.0168.36210.740.560.6932.967.94877.960.05769.57
      MGFF20.0372.81154.580.640.7572.757.93071.890.10564.20
      MST21.9570.3596.310.720.8233.137.91878.130.10069.71
      CSR21.7871.9987.150.810.8174.427.96378.120.07469.55
      M&P22.0972.6988.850.870.8395.517.96479.100.07670.46
    • Table 3. Average objective index comparison of seven fusion algorithms

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      Table 3. Average objective index comparison of seven fusion algorithms

      SF↑Var↑QcvQcbQabfMI↑EN↑EI↑CE↓AG↑
      RW10.4760.3438.600.7760.7656.147.55137.230.036 833.98
      f-PCNN10.6160.4981.210.7240.7355.057.55237.910.026 434.61
      IFCNN10.3860.2772.740.5940.5914.657.54536.520.021 833.36
      MGFF9.8662.36169.860.6340.6814.347.54335.430.062 332.39
      MST10.6860.7248.590.7400.7515.207.54237.890.031 934.59
      CSR10.3560.6534.420.7220.7145.537.55136.280.021 533.12
      M&P10.7560.7935.920.7950.7616.277.55637.930.021 434.59
    • Table 4. Average time cost of seven fusion algorithms

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      Table 4. Average time cost of seven fusion algorithms

      AlgorithmRWf-PCNNIFCNNMGFFMSTCSRM&P
      Time cost22.51532.1411.853.530.05228.81204.18
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    Zefeng HUANG, Shen YANG, Huiping DENG, Qingson LI. Light Field All-in-focus Image Fusion Based on MDLatLRR and KPCA[J]. Acta Photonica Sinica, 2023, 52(4): 0410004

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    Paper Information

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    Received: Jul. 21, 2022

    Accepted: Aug. 30, 2022

    Published Online: Jun. 21, 2023

    The Author Email: YANG Shen (yangshen@wust.edu.cn)

    DOI:10.3788/gzxb20235204.0410004

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