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Acta Optica Sinica, Volume. 38, Issue 5, 0510001(2018)

Multi-Focus Image Fusion Based on Guided Filtering and Improved PCNN

Yanchun Yang*, Jiao Li, Jianwu Dang, and Yangping Wang
Author Affiliations
  • School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (9)
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    References (21)
    Cited By (6)
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    Figures & Tables(9)
    Simplified model of PCNN

    Fig. 1. Simplified model of PCNN

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    Diagram of the proposed method

    Fig. 2. Diagram of the proposed method

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    Variation of evaluation parameters with different values of parameters r1 and r2. (a) r1 (AG, STD and MI); (b) r2 (AG, STD and MI); (c) r1 (QAB/F); (d) r2(QAB/F); (e) r1 (QSF); (f) r2 (QSF)

    Fig. 3. Variation of evaluation parameters with different values of parameters r1 and r2. (a) r1 (AG, STD and MI); (b) r2 (AG, STD and MI); (c) r1 (QAB/F); (d) r2(QAB/F); (e) r1 (QSF); (f) r2 (QSF)

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    Variation of evaluation parameters with different values of parameters ε1 and ε2. (a) ε1 (AG, STD and MI); (b) ε2 (AG, STD and MI); (c) ε1 (QAB/F); (d) ε2 (QAB/F); (e) ε1 (QSF); (f) ε2 (QSF)

    Fig. 4. Variation of evaluation parameters with different values of parameters ε1 and ε2. (a) ε1 (AG, STD and MI); (b) ε2 (AG, STD and MI); (c) ε1 (QAB/F); (d) ε2 (QAB/F); (e) ε1 (QSF); (f) ε2 (QSF)

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    Variation of evaluation parameters with different number of decomposition levels. (a) AG, STD and MI; (b) QAB/F; (c) QSF

    Fig. 5. Variation of evaluation parameters with different number of decomposition levels. (a) AG, STD and MI; (b) QAB/F; (c) QSF

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    Experimental results of the first group. (a) Source image A; (b) source image B; (c) PCA; (d) PCNN; (e) GIF; (f) GFF; (g) Multi-GFF; (h) proposed method

    Fig. 6. Experimental results of the first group. (a) Source image A; (b) source image B; (c) PCA; (d) PCNN; (e) GIF; (f) GFF; (g) Multi-GFF; (h) proposed method

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    Experimental results of the second group. (a) Source image A; (b) source image B; (c) PCA; (d) PCNN; (e) GIF; (f) GFF; (g) Multi-GFF; (h) proposed method

    Fig. 7. Experimental results of the second group. (a) Source image A; (b) source image B; (c) PCA; (d) PCNN; (e) GIF; (f) GFF; (g) Multi-GFF; (h) proposed method

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    • Table 1. Objective evaluation results of the first group of multi-focus image fusion

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      Table 1. Objective evaluation results of the first group of multi-focus image fusion

      MethodAGSTDMIQAB/FQSFRuntime /s
      PCA3.872 145.454 16.905 20.578 7-0.415 51.588 993
      PCNN4.249 747.451 87.292 60.566 5-0.336 0154.428 742
      GIF6.173 247.839 98.502 30.756 5-0.030 10.575 328
      GFF6.154 747.639 47.917 50.715 5-0.032 71.037 871
      Multi-GFF6.118 847.474 27.887 60.713 5-0.037 41.504 174
      Proposed method6.226 147.835 58.541 10.758 2-0.021 58.400 050

    • Table 2. Objective evaluation results of the second group of multi-focus image fusion

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      Table 2. Objective evaluation results of the second group of multi-focus image fusion

      MethodAGSTDMIQAB/FQSFRuntime /s
      PCA4.250 028.961 57.701 00.725 8-0.346 80.486 788
      PCNN4.326 329.098 27.643 90.707 6-0.326 815.192 404
      GIF5.279 230.658 59.066 90.753 6-0.082 40.614 125
      GFF5.371 630.619 47.885 70.751 1-0.069 10.594 314
      Multi-GFF5.348 730.591 87.896 30.752 5-0.073 90.395 003
      Proposed method5.523 330.875 58.682 50.762 9-0.059 00.762 702
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    Yanchun Yang, Jiao Li, Jianwu Dang, Yangping Wang. Multi-Focus Image Fusion Based on Guided Filtering and Improved PCNN[J]. Acta Optica Sinica, 2018, 38(5): 0510001

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    Paper Information

    Category: Image processing

    Received: Sep. 27, 2017

    Accepted: --

    Published Online: Jul. 10, 2018

    The Author Email: Yang Yanchun (yangyanchun102@sina.com)

    DOI:10.3788/AOS201838.0510001

    Topics

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