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基于复数小波变换的边缘保护融合算法
引用本文:黄夏飞,林岳松,陈华杰.基于复数小波变换的边缘保护融合算法[J].计算机仿真,2008,25(10).
作者姓名:黄夏飞  林岳松  陈华杰
作者单位:杭州电子科技大学信息与控制研究所,浙江,杭州,310037
摘    要:如何保护局部对比度信息是图像融合的关键问题,而图像边缘是基于人类视觉系统(HVS)最敏感的局部对比度信息.基于对偶树复数小波变换(DT-CWT),提出一种保护图像边缘信息的加权系数融合算法.对于低频部分,使用邻域熵极大值准则将系数添加到融合图像中;而对于高频部分,首先分别对各小波子图像进行边缘提取并对其特征增强,接下来使用边缘信息优先的加权系数融合策略进行特征信息融合.实验结果表明,同传统多分辨率图像融合方法相比,能得到更好的融合效果.

关 键 词:图像融合  对偶树复数小波变换  图像边缘  局部对比度

An Edge-Preserving Image Fusion Algorithm Based on Complex Wavelet Transforms
HUANG Xia-fei,LIN Yue-song,CHEN Hua-jie.An Edge-Preserving Image Fusion Algorithm Based on Complex Wavelet Transforms[J].Computer Simulation,2008,25(10).
Authors:HUANG Xia-fei  LIN Yue-song  CHEN Hua-jie
Affiliation:HUANG Xia-fei,LIN Yue-song,CHEN Hua-jie(Institute of Information & Control,Hangzhou Dianzi University,Hangzhou Zhejiang 310037,China)
Abstract:Local contrast plays an important role in image fusion which is mainly to preserve the important information from the source images. Based on the human visual system (HVS), edges are the most sensitive information in local contrast. Accordingly, an edge-preserving image fusion algorithm with weighted average fusion rule based on dual tree complex wavelet transform (DT-CWT) is presented. After transformation, the coefficients are added to the fusion image according to the local entropy maximum method at low ...
Keywords:Image fusion  Dual tree complex wavelet transform(DT-CWT)  Image edge  Local contrast  
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