A Study on Fusion of Different Resolution Images

被引：3

作者：

Wu, Tao ^{[1
]}

Wu, Xiao-Jun ^{[1
]}

Luo, Xiao-Qing ^{[1
]}

机构：

[1] Jiangnan Univ, Sch IoT Engn, Wuxi 214122, Peoples R China

来源：

2012 INTERNATIONAL WORKSHOP ON INFORMATION AND ELECTRONICS ENGINEERING | 2012年 / 29卷

关键词：

Image fusion; Different resolution; LMSE; Constrained optimization problem;

D O I：

10.1016/j.proeng.2012.01.605

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

How to fuse different resolution images of the same target obtained by multiple sensors is very important in the field of image fusion. In this paper, a method of fusing different resolution images is proposed based on least mean square error (LMSE). The main idea of the algorithm is to transform the image fusion problem into a constrained optimization problem. Experimental results show that the proposed method exhibits a good performance. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Harbin University of Science and Technology

引用

页码：3980 / 3985

页数：6

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