光学学报, 2019, 39 (11): 1110003, 网络出版: 2019-11-06
结合脉冲耦合神经网络与引导滤波的红外与可见光图像融合 
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Infrared and Visible Image Fusion Combining Pulse-Coupled Neural Network and Guided Filtering
图 & 表
图 3. 4组原始红外与可见光图像。(a) Camp红外图像;(b) camp可见光图像;(c) dune红外图像;(d) dune可见光图像;(e) kayak红外图像;(f) kayak可见光图像;(g) road红外图像;(h) road可见光图像
Fig. 3. Four groups of the original infrared and visible images. (a) Camp infrared image; (b) camp visible image; (c) dune infrared image; (d) dune visible image; (e) kayak infrared image; (f) kayak visible image; (g) road infrared image; (h) road visible image
图 4. 不同算法融合结果对比。(a1)~(a4)引导滤波(GFF)的融合结果;(b1)~(b4)基于特征提取(FE)的融合结果;(c1)~(c4) NSCT_PCNN的融合结果;(d1)~(d4)本文PCNN_GFF的融合结果
Fig. 4. Fusion results of different fusion methods. (a1)-(a4) Fusion results of GFF; (b1)-(b4) fusion results of EF; (c1)-(c4) fusion results of NSCT_PCNN; (d1)-(d4) fusion results of the proposed PCNN_GFF
表 1不同算法融合结果的客观评价指标
Table1. Objective evaluation indexes of different fusion methods
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表 2不同融合算法平均运行时间对比
Table2. Average running time of different fusion methods
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周哓玲, 江泽涛. 结合脉冲耦合神经网络与引导滤波的红外与可见光图像融合[J]. 光学学报, 2019, 39(11): 1110003. XiaoLing Zhou, Zetao Jiang. Infrared and Visible Image Fusion Combining Pulse-Coupled Neural Network and Guided Filtering[J]. Acta Optica Sinica, 2019, 39(11): 1110003.
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