吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (4): 1203-1208.doi: 10.13229/j.cnki.jdxbgxb201404046

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图的图像融合方法

王晓文, 赵宗贵, 庞秀梅, 刘敏   

  1. 1.解放军理工大学 指挥信息系统学院, 南京210007;
    2.中国人民解放军93175部队, 长春 130051;
    3.中国电子科技集团公司 第28研究所, 南京210007;
    4.解放军理工大学 理学院, 南京210014;
    5.73677部队 电子对抗中心, 南京210016
  • 收稿日期:2012-12-27 出版日期:2014-07-01 发布日期:2014-07-01
  • 作者简介:王晓文(1978-), 女, 博士研究生.研究方向:图像融合, 目标跟踪.E-mail:hncandy@163.com
  • 基金资助:
    总装备部“十二五”国防预先研究课题项目(513060402); 军用“973”项目(613101)

Image fusion method based on visual saliency maps

WANG Xiao-wen1, 2, ZHAO Zong-gui3, PANG Xiu-mei4, LIU Min5   

  1. 1.College of Command Information Systems, PLA University of Science and Technology, Nanjing 210007, China;
    2.Unit 93175 of PLA, Changchun 130051, China;
    3.The 28th Research Institute, China Electronics Technology Group Cooperation, Nanjing 210007, China;
    4.College of Sciences, PLA University of Science and Technology, Nanjing 210014, China;
    5.Center of EW, Unit 73677 of PLA, Nanjing 210016, China
  • Received:2012-12-27 Online:2014-07-01 Published:2014-07-01

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摘要： 基于图像的不同视觉特征, 构造各源图像的视觉显著图, 提出一种基于视觉显著图的多尺度图像融合算法低频子带融合规则, 构建了一种新的多尺度图像融合方法。结合àtrous小波和非下采样轮廓波变换(Non subsampled contourlet transform, NSCT), 对多传感器图像和多聚焦图像的融合实验表明, 应用本文方法所得的融合图像, 无论是视觉效果还是客观评价得分均优于基于平均法或神经网络选择低频系数的融合方法。

关键词: 信息处理技术, 图像融合, 视觉显著图, 融合规则, 低频子带

Abstract: Visual saliency maps of the source images are extracted with various image features. A novel fusion rule for the low-frequency subbands of multi-scale image fusion algorithms is proposed, and a new multi-scale image fusion method is developed based on the visual saliency maps. Átrous wavelet is integrated with Nonsubsampled Contourlet Transform, and is applied to the experiment of multi-sensor and multi-focus image fusion. It is demonstrated that the proposed approach yields better results both in visual inspection and objective evaluation than the methods choosing low frequency coefficients based on average or neural network.

Key words: information processing technology, image fusion, visual saliency map, fusion rule, low frequency subbands

中图分类号: 

  • TN911.73
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