基于改进引导滤波和双通道脉冲发放皮层模型的红外与可见光图像融合算法 下载: 1169次
Infrared and Visible Image Fusion Algorithm Based on Improved Guided Filtering and Dual-Channel Spiking Cortical Model
桂林电子科技大学广西高校图像图形智能处理重点实验室, 广西 桂林 541004
图 & 表
图 1. DCSCM结构图
Fig. 1. Structure of DCSCM
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图 2. 本文融合算法流程图
Fig. 2. Flow chart of the proposed fusion algorithm
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图 3. UNcamp图像集与融合结果。(a)红外图像;(b)可见光图像;(c)文献[
1]方法;(d)文献[
10]方法;(e)文献[
13]方法;(f)本文方法
Fig. 3. UNcamp image set and fusion results. (a) Infrared image; (b) visible image; (c) method in Ref. [1]; (d) method in Ref. [10]; (e) method in Ref. [13]; (f) proposed method
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图 4. 第一组图像及融合结果。(a)红外图像;(b)可见光图像;(c)文献[
1]方法;(d)文献[
10]方法;(e)文献[
13]方法;(f)本文方法
Fig. 4. First set of images and fusion results. (a) Infrared image; (b) visible image; (c) method in Ref. [1]; (d) method in Ref. [10]; (e) method in Ref. [13]; (f) proposed method
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图 5. 第二组图像及融合结果。(a)红外图像;(b)可见光图像;(c)文献[
1]方法;(d)文献[
10]方法;(e)文献[
13]方法;(f)本文方法
Fig. 5. Second set of images and fusion results. (a) Infrared image; (b) visible image; (c) method in Ref. [1]; (d) method in Ref. [10]; (e) method in Ref. [13]; (f) proposed method
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表 1UNcamp图像集实验结果对比
Table1. Comparison results of the UNcamp image set
Fusion method | UNcamp image set |
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Average gradient | Spatial frequency | Standard deviation | Information entropy | Time /s |
---|
Ref. [1] method | 4.7617 | 18.9637 | 31.0414 | 6.8486 | 86 | Ref. [10] method | 6.0804 | 21.6994 | 31.2829 | 6.8299 | 4 | Ref. [13] method | 4.6744 | 18.7695 | 31.2877 | 6.8109 | 0.1 | Proposed method | 4.9545 | 19.6564 | 34.6846 | 7.0609 | 36 |
|
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表 2第一组图像实验结果对比
Table2. Comparison results of the first set of images
Fusion method | Average gradient | Spatial frequency | Standard deviation | Information entropy | Time /s |
---|
Ref. [1] method | 7.5474 | 29.4560 | 41.2905 | 7.3113 | 85 | Ref. [10] method | 7.4336 | 27.7642 | 42.7031 | 7.3205 | 4 | Ref. [13] method | 7.1355 | 28.5708 | 40.5886 | 7.2843 | 0.1 | Proposed method | 7.8675 | 30.8137 | 43.3375 | 7.2850 | 37 |
|
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表 3第二组图像实验结果对比
Table3. Comparison results of the second set of images
Fusion method | Average gradient | Spatial frequency | Standard deviation | Information entropy | Time /s |
---|
Ref. [1] method | 5.9301 | 29.3384 | 34.7995 | 6.7386 | 92 | Ref. [10] method | 4.8486 | 19.7879 | 32.0217 | 6.6748 | 5 | Ref. [13] method | 5.8181 | 29.5087 | 37.1285 | 6.8496 | 0.1 | Proposed method | 5.7458 | 28.7639 | 35.7410 | 6.8185 | 36 |
|
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江泽涛, 吴辉, 周哓玲. 基于改进引导滤波和双通道脉冲发放皮层模型的红外与可见光图像融合算法[J]. 光学学报, 2018, 38(2): 0210002. Zetao Jiang, Hui Wu, Xiaoling Zhou. Infrared and Visible Image Fusion Algorithm Based on Improved Guided Filtering and Dual-Channel Spiking Cortical Model[J]. Acta Optica Sinica, 2018, 38(2): 0210002.