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基于变换域VGGNet19的红外与可见光图像融合

李永萍 杨艳春 党建武 王阳萍

李永萍, 杨艳春, 党建武, 王阳萍. 基于变换域VGGNet19的红外与可见光图像融合[J]. 红外技术, 2022, 44(12): 1293-1300.
引用本文: 李永萍, 杨艳春, 党建武, 王阳萍. 基于变换域VGGNet19的红外与可见光图像融合[J]. 红外技术, 2022, 44(12): 1293-1300.
LI Yongping, YANG Yanchun, DANG Jianwu, WANG Yangping. Infrared and Visible Image Fusion Based on Transform Domain VGGNet19[J]. Infrared Technology , 2022, 44(12): 1293-1300.
Citation: LI Yongping, YANG Yanchun, DANG Jianwu, WANG Yangping. Infrared and Visible Image Fusion Based on Transform Domain VGGNet19[J]. Infrared Technology , 2022, 44(12): 1293-1300.

基于变换域VGGNet19的红外与可见光图像融合

基金项目: 

长江学者和创新团队发展计划资助 IRT_16R36

国家自然科学基金 62067006

甘肃省科技计划项目 18JR3RA104

甘肃省高等学校产业支撑计划项目 2020C-19

兰州市科技计划项目 2019-4-49

甘肃省教育厅:青年博士基金项目 2022QB-067

甘肃省自然科学基金 21JR7RA300

兰州交通大学天佑创新团队 TY202003

兰州交通大学-天津大学联合创新基金项目 2021052

详细信息
    作者简介:

    李永萍(1996-),女,硕士研究生,主要研究方向:图像融合。E-mail: 2647336295@qq.com

    通讯作者:

    杨艳春(1979-),女,副教授,主要研究方向:图像融合与图像配准。E-mail: yangyanchun102@sina.com

  • 中图分类号: TP391

Infrared and Visible Image Fusion Based on Transform Domain VGGNet19

  • 摘要: 针对红外与可见光图像融合中出现细节信息丢失及边缘模糊的问题,提出一种在变换域中通过VGGNet19网络的红外与可见光图像融合方法。首先,为了使得源图像在分解过程中提取到精度更高的基础与细节信息,将源图像利用具有保边平滑功能的多尺度引导滤波器进行分解,分解为一个基础层与多个细节层;然后,采用具有保留主要能量信息特点的拉普拉斯能量对基础层进行融合得到基础融合图;其次,为了防止融合结果丢失一些细节边缘信息,采用VGGNet19网络对细节层进行特征提取,L1正则化、上采样以及最终的加权平均策略得到融合后的细节部分;最后,通过两种融合图的相加即可得最终的融合结果。实验结果表明,本文方法更好地提取了源图像中的边缘及细节信息,在主观评价以及客观评价指标中均取得了更好的效果。
  • 图  1  VGGNet19网络结构模型

    Figure  1.  VGGNet 19 Network structure model diagram

    图  2  本文算法思路框图

    Figure  2.  Block diagram of the algorithm in this paper

    图  3  实验结果:(a) 红外图像(b) 可见光图像(c) IFCNN (d) CSR (e) JSRSD (f) WLS (g) GSF (h) NSCT (i) Lp-cnn (j) 本文

    Figure  3.  Experimental results: (a) Infrared image(b) Visible image(c) IFCNN(d) CSR(e) JSRSD (f) WLS(g) GSF(h) NSCT(i)Lp-cnn(j) Ours

    图  4  融合结果三维对比分析

    Figure  4.  Three-dimensional comparative analysis chart of fusion results

    图  5  指标对比折线图:(a) FMI-dct;(b) FMI-pixel;(c) FMI-w;(d) QP;(e) QY

    Figure  5.  Indicator comparison line chart: (a) FMI-dct; (b) FMI-pixel; (c) FMI-w; (d) QP; (e) QY

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出版历程
  • 收稿日期:  2022-01-15
  • 修回日期:  2022-02-28
  • 刊出日期:  2022-12-20

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