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基于NSCT 域感受野模型的图像融合方法
引用本文:孔韦韦,雷英杰,雷阳,李卫忠.基于NSCT 域感受野模型的图像融合方法[J].控制与决策,2011,26(10):1493-1498.
作者姓名:孔韦韦  雷英杰  雷阳  李卫忠
作者单位:空军工程大学导弹学院,陕西三原,713800
基金项目:国家自然科学基金项目(60773209)
摘    要:针对多传感器图像融合问题,提出了一种基于非下采样轮廓波变换域感受野模型的图像融合方法.首先,采用非下采样轮廓波变换对源图像进行多尺度、多方向稀疏分解;然后,对低频子图像采用改进型感受野模型进行融合,高频子图像则采用自适应Unit-Fast-Linking脉冲耦合神经网络模型进行融合;最后,将各子图像进行非下采样轮廓波逆变换,得到最终融合图像.仿真实验表明了所提出方法的有效性.

关 键 词:图像融合  非下采样轮廓波变换  感受野  脉冲耦合神经网络
收稿时间:2010/5/17 0:00:00
修稿时间:2010/8/15 0:00:00

Technique for image fusion based on non-subsampled contourlet
transform domain receptive field model
KONG Wei-wei,LEI Ying-jie,LEI Yang,LI Wei-zhong.Technique for image fusion based on non-subsampled contourlet
transform domain receptive field model[J].Control and Decision,2011,26(10):1493-1498.
Authors:KONG Wei-wei  LEI Ying-jie  LEI Yang  LI Wei-zhong
Affiliation:KONG Wei-wei,LEI Ying-jie,LEI Yang,LI Wei-zhong(Institute of Missile,Air Force Engineering University,Sanyuan 713800,China)
Abstract:To the multi-sensor image fusion problem,a technique for image fusion based on non-subsampled contourlet transform(NSCT) domain receptive field model is presented.Firstly,by using NSCT,multi-scale and multi-direction sparse decomposition of source images are performed.Then,an improved receptive field model is utilized to achieve the fusion of the low frequency sub-images.In addition,the course of the high frequency sub-images fusion can be completed by using the model of adaptive unit-fast-linking pulse cou...
Keywords:image fusion  non-subsampled contourlet transform  receptive field  pulse coupled neural network  
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