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改进的NSCT与NMF结合的图像融合方法
引用本文:张元,张颖,陈雪波.改进的NSCT与NMF结合的图像融合方法[J].鞍山科技大学学报,2010(5).
作者姓名:张元  张颖  陈雪波
作者单位:辽宁科技大学电子与信息工程学院;
摘    要:基于人类视觉系统和源图像特性,对基于非下采样Contourlet变换与非负矩阵分解(NMF)图像融合算法进行了改进。在非负矩阵分解过程中,适当地选取特征空间的维数能够获得原始数据的局部特征,低频部分使用非负矩阵分解的方法进行融合,高频部分使用活性测度和一致性验证的方法进行融合。实验结果表明,该算法具有较强的鲁棒性,融合图像边缘的清晰度和连续性也较理想。

关 键 词:图像融合  非采样Contourlet变换  非负矩阵分解  活性测度  

Improved image fusion method by combining NSCT with NMF
ZHANG Yuan,ZHANG Ying,CHEN Xue-bo.Improved image fusion method by combining NSCT with NMF[J].Journal of Anshan University of Science and Technology,2010(5).
Authors:ZHANG Yuan  ZHANG Ying  CHEN Xue-bo
Institution:ZHANG Yuan,ZHANG Ying,CHEN Xue-bo(School of Electronic and Information Engineering,University of Science and Technology Liaoning,Anshan 114051,China)
Abstract:This algorithm of image fusion with nonsubsampled contourlet transform and non-negative matrix factorization is improved based on human visual system(HVS) and source image characteristics.It is shown that the local feature of original data can be obtained by choosing a suitable dimension of the feature subspace in non-negative matrix factorization.Therefore NMF is used in low-frequency,and activity measurement and the consistency of the method is used in high-frequency.Experiment results show that the propo...
Keywords:image fusion  NSCT  NMF  activity measurement(AM)  
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