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基于非下采样contourlet变换与脉冲耦合神经网络的图像融合算法
引用本文:肖伟,汪荣峰.基于非下采样contourlet变换与脉冲耦合神经网络的图像融合算法[J].计算机应用,2008,28(Z2).
作者姓名:肖伟  汪荣峰
作者单位:1. 装备指挥技术学院研究生院,北京,101416
2. 装备指挥技术学院试验指挥系,北京,101416
基金项目:总装备部科研基金  
摘    要:提出一种基于非下采样contourlet变换(NSCT)与脉冲耦合神经网络(PCNN)的图像融合算法.该方法首先利用非下采样eontourlet变换对输入图像进行多尺度分解、多方向稀疏分解,准确捕获图像中的高维奇异信息,然后利用脉冲耦合神经网络的同步激发特性确定融合规则,选取融合系数,提高融合性能.实验结果表明,算法比小波变换、contourlet变换有更好的融合性能.

关 键 词:图像融合  非下采样contourlet变换  脉冲耦合神经网络

Image fusion algorithm based on nonsubsampled contourlet transform and pulse coupled neural network
XIAO Wei,WANG Rong-feng.Image fusion algorithm based on nonsubsampled contourlet transform and pulse coupled neural network[J].journal of Computer Applications,2008,28(Z2).
Authors:XIAO Wei  WANG Rong-feng
Affiliation:XIAO Wei 1,WANG Rong-feng2(1.Department of Postgraduate,Academy of Equipment Comm, , Technology,Beijing 101416,China,2.Department of Test , Comm,,China)
Abstract:A fusion algorithm based on Nonsubsampled Contourlet Transform(NSCT)and Pulse Coupled Neural Network(PCNN)was proposed.By using NSCT,the input images were decomposed into a number of sub-images with various scales and directional features.Then,based on PCNN,a fusion rule was given.The fused coefficients could be generated by PCNN-based fusion rule and the fused image was obtained by performing the inverse NSCT to fused coefficients.The experimental results show that the fusion method is more effective than ...
Keywords:image fusion  Nonsubsampled Contourlet Transform(NSCT)  Pulse Coupled Neural Network(PCNN)  
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