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
- Acta Optica Sinica
- Vol. 38, Issue 5, 0510001 (2018)
Fig. 1. Simplified model of PCNN
Fig. 2. Diagram of the proposed method
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)
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)
Fig. 5. Variation of evaluation parameters with different number of decomposition levels. (a) AG, STD and MI; (b) QAB/F; (c) QSF
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
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 2. Objective evaluation results of the second group of multi-focus image fusion
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