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基于提升小波变换的图像融合新算法
引用本文:石跃祥,朱健,刘海涛.基于提升小波变换的图像融合新算法[J].计算机工程与应用,2012,48(10):167-170,203.
作者姓名:石跃祥  朱健  刘海涛
作者单位:湘潭大学信息工程学院,湖南湘潭,411105
基金项目:湖南省自然科学基金(No.07JJ6115); 智能制造湖南省高校重点实验室(No.2009IM06)
摘    要:给出了一种基于提升小波变换的图像融合方法,并对小波分解的不同频率域,分别采用不同的融合规则。选择低频系数时,是基于边缘的方法,选择高频系数时,把小波系数的方差与绝对值综合起来考虑来决定融合小波系数。实验结果表明,提出的方法融合效果要优于一般融合方法。

关 键 词:提升小波变换  融合规则  图像融合

New way for image fusion based on lifting wavelet transform
SHI Yuexiang , ZHU Jian , LIU Haitao.New way for image fusion based on lifting wavelet transform[J].Computer Engineering and Applications,2012,48(10):167-170,203.
Authors:SHI Yuexiang  ZHU Jian  LIU Haitao
Affiliation:College of Information Engineering, Xiangtan University, Xiangtan, Hunan 411105, China
Abstract:This paper presents a lifting wavelet transform-based image fusion method. And a different fusion rule is applied in the different frequency domains of wavelet decomposition. While low frequency coefficients are chosen, the method is based on edges of image. While high frequency coefficients are chosen, the wavelet coefficient vari- ance and the absolute value is used to fuse the wavelet coefficient. The experimental results show this fusion scheme is effective than other fusion schemes.
Keywords:lifting wavelet transform  fusion rules  image fusion
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