Image fusion based on expectation maximization algorithm and steerable pyramid

被引：11

作者：

刘刚

敬忠良

孙韶媛

李建勋

李振华

Henry Leung

机构：

[1] Canada

[2] ICT 451

[3] Shanghai Jiaotong University

[4] University of Calgary

[5] N. W.

[6] Alberta

[7] T2N 1N4

[8] University Drive

[9] Institute of Aerospace Information and Control

[10] Department of Electrical and Computer Engineering

[11] School of Electronics and Information Technology

[12] Shanghai 200030

来源：

ChineseOpticsLetters | 2004年 / 07期

基金：

中国国家自然科学基金;

关键词：

Image fusion based on expectation maximization algorithm and steerable pyramid; high;

D O I：

暂无

中图分类号：

TP391.41 [];

学科分类号：

080203 ;

摘要：

In this paper, a novel image fusion method based on the expectation maximization (EM) algorithm and steerable pyramid is proposed. The registered images are first decomposed by using steerable pyramid. The EM algorithm is used to fuse the image components in the low frequency band. The selection method involving the informative importance measure is applied to those in the high frequency band. The final fused image is then computed by taking the inverse transform on the composite coefficient representations. Experimental results show that the proposed method outperforms conventional image fusion methods.

引用

页码：386 / 389

页数：4

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