An improved algorithm of multi-focused image fusion based on directional region-energy

ZHU Hui; JIANG Zhuo-bin; HU Bin-jie

doi:10.13873/j.1000-97872011.09.030

Chinese

您当前的位置：

首页 >

文章列表页 >

An improved algorithm of multi-focused image fusion based on directional region-energy

更新时间：2025-09-11

- An improved algorithm of multi-focused image fusion based on directional region-energy
- Vol. 30, Issue 9, Pages: 131-134+138(2011)
- 作者机构：
  
  华南理工大学电子与信息学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872011.09.030
  CLC： TP391.41
- Published：2011
- 稿件说明：
移动端阅览
[1]朱辉,江卓斌,胡斌杰.一种改进的基于方向区域能量的多聚焦图像融合算法[J].传感器与微系统,2011,30(09):131-134+138.

ZHU Hui, JIANG Zhuo-bin, HU Bin-jie. An improved algorithm of multi-focused image fusion based on directional region-energy[J]. 2011, 30(9): 131-134+138.
[1]朱辉,江卓斌,胡斌杰.一种改进的基于方向区域能量的多聚焦图像融合算法[J].传感器与微系统,2011,30(09):131-134+138. DOI： 10.13873/j.1000-97872011.09.030.

ZHU Hui, JIANG Zhuo-bin, HU Bin-jie. An improved algorithm of multi-focused image fusion based on directional region-energy[J]. 2011, 30(9): 131-134+138. DOI： 10.13873/j.1000-97872011.09.030.

摘要

通过分析图像经小波变换后各子带的方向区域特性和比较各种图像融合算法的效果

提出了一种改进的基于方向区域能量选大图像融合算法。对于低频子带系数

采用基于归一化区域梯度加权的融合规则确定低频融合系数;对于高频子带系数

根据其所在高频子带的方向特性

采用基于方向区域能量选大的融合规则

进而确定高频融合系数。实验结果表明:改进方法能够获得具有更丰富的信息量和更高清晰度的融合图像。

Abstract

An improved image fusion algorithm based on maximum region-energy with its directional correlation is presented by analyzing the directional characteristics of the wavelet coefficients and comparing the effects of applying various image fusion algorithms.For the coefficients of low-frequency sub-band

the low frequency fusion coefficient is determined by the fusion rule based on normalized regional gradient weighting.For the coefficients of high-frequency sub-band

the fusion coefficient is determined by the maximum directional region-energy in different high-frequency regions based on the directional characteristics.Experiments show that the fusion image of proposed algorithm has more information content and higher clarity.

关键词

Keywords

references

基于局部能量小波融合算法的研究 [J]. 赵晓雷. 计算机与数字工程 . 2010(07)

一种基于小波系数区域特征的图像融合算法 [J]. 周志光,王相海. 计算机科学 . 2009(05)

基于小波系数方向特性的图像融合新算法 [J]. 王相海,周志光. 吉林师范大学学报(自然科学版) . 2008(03)

多聚焦图像融合中小波基函数选取的研究 [J]. 申晓华,艾宝,王婷. 弹箭与制导学报 . 2007(03)

图像融合质量评价方法的研究 [J]. 胡良梅,高隽,何柯峰. 电子学报 . 2004(S1)

小波的理论与应用[M]. 科学出版社 , 成礼智等编著, 2004

Views

149

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Human pulse acquisition and heart rate evaluation system based on flexible piezoelectric thin film

Railway foreign body intrusion detection method based on improved mixed Gaussian model

Defect detection method of digital printing based on LBPV fuses wavelet decomposition

Image fusion method based on discrete stationary wavelet transformrevoke

Threshold self-adaptive optimizing de-noising method based on wavelet transform

Related Author

YE Guoyong

XIAO Zhenyu

TANG Xiaowu

JIN Shaobo

ZHAO Zirui

NING Zheng

NIU Hongxia

ZHANG Zhaoxin

Related Institution

School of Material and Chemical Engineering，Zhengzhou University of Light Industry

School of Mechanical and Electrical Engineering，Zhengzhou University of Light Industry

Gansu Provincial Key Laboratory of Traffic Information Engineering and Control

Automatic Control Institute,Lanzhou Jiaotong University

College of Electronic Information,Xi’an Polytechnic University

⁰