基于小波系数方向特性的图像融合新算法

被引：6

作者：

王相海 ^{[1
,2
]}

周志光 ^{[1
]}

机构：

[1] 辽宁师范大学计算机与信息技术学院

[2] 计算机软件新技术国家重点实验室(南京大学)

来源：

吉林师范大学学报(自然科学版) | 2008年 / 03期

关键词：

图像融合; 提升小波变换; 方向特性; 融合规则;

D O I：

10.16862/j.cnki.issn1674-3873.2008.03.008

中图分类号：

TP391.41 [];

学科分类号：

080203 ;

摘要：

介绍了图像的提升方案小波变换并统计了图像经小波变换后各高频子带系数的方向区域特性,据此提出了一种新的基于小波系数方向特性的图像融合方法.对于低频子带的每个系数,采用加权平均的融合规则确定低频融合系数;对于各高频子带的每个系数,根据其所在子带的方向特征,采用方向特性的融合规则确定高频融合系数.本文对多幅图像进行了融合仿真实验,并用信息熵和平均梯度对融合结果进行了客观的评价.实验结果表明,基于小波系数方向特性的图像融合算法要优于传统的融合算法,具有一定的实用性.

引用

页码：37 / 42

页数：6

共 12 条

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