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

江泽涛; 吴辉; 周哓玲

doi:doi:10.3788/AOS201838.0210002

光学学报, 2018, 38 (2): 0210002, 网络出版: 2018-08-30

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： 1167次

Infrared and Visible Image Fusion Algorithm Based on Improved Guided Filtering and Dual-Channel Spiking Cortical Model

江泽涛吴辉 ^*周哓玲

作者单位

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
Fusion method	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.