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
收藏
页码：3980 / 3985
页数：6
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