首页 | 官方网站   微博 | 高级检索  
     

基于Curvelet变换的红外与彩色可见光图像融合算法
引用本文:李郁峰,范勇,李绘卓,薛琴.基于Curvelet变换的红外与彩色可见光图像融合算法[J].计算机工程与应用,2010,46(11):186-189.
作者姓名:李郁峰  范勇  李绘卓  薛琴
作者单位:1. 西南科技大学计算机科学与技术学院,四川,绵阳,621010;西南交通大学电气工程学院,成都,610031
2. 西南科技大学计算机科学与技术学院,四川,绵阳,621010
基金项目:国家自然科学基金委-中国工程物理研究院NSAF联合基金资助(No.10676029,No.10776028);;国家自然科学基金No.10676029~~
摘    要:提出了基于二代Curvelet变换的红外与彩色可见光图像的融合算法。首先对彩色可见光图像进行IV1V2颜色空间变换提取亮度分量,然后对彩色图像的亮度分量和红外图像应用Curvelet变换,对低频系数应用亮度重映射技术后采用加权平均的融合规则,高频系数则采用取大融合规则,再对融合系数应用Curvelet逆变换获得融合图像的亮度分量,最后运用颜色空间逆变换得到融合图像。实验对比表明,相对于对传统融合算法中强度较高的源图像会淹没另一方背景纹理及细节的问题,该算法能有效提高红外光谱信息的充分融合,获得了视觉效果更好、综合指标更优的融合图像。

关 键 词:图像融合  Curvelet变换  亮度重映射  红外图像  可见光彩色图像
收稿时间:2009-11-2
修稿时间:2009-12-21  

Infrared and color visible image fusion algorithm using Curvelet transform
LI Yu-feng,FAN Yong,LI Hui-zhuo,XUE Qin.School of Computer Science , Technology,Southwest University of Science , Technology,Mianyang,Sichuan ,China .School of Electrical Engineering,Southwest Jiaotong University,Chengdu ,China.Infrared and color visible image fusion algorithm using Curvelet transform[J].Computer Engineering and Applications,2010,46(11):186-189.
Authors:LI Yu-feng    FAN Yong  LI Hui-zhuo  XUE QinSchool of Computer Science  Technology  Southwest University of Science  Technology  Mianyang  Sichuan  China School of Electrical Engineering  Southwest Jiaotong University  Chengdu  China
Affiliation:LI Yu-feng1,2,FAN Yong1,LI Hui-zhuo1,XUE Qin11.School of Computer Science , Technology,Southwest University of Science , Technology,Mianyang,Sichuan 621010,China 2.School of Electrical Engineering,Southwest Jiaotong University,Chengdu 610031,China
Abstract:A novel fusion algorithm based on the second-generation Curvelet transform for infrared image and color visible image is proposed.In this paper,color visible image is converted from RGB color space to IV1V2 and its intensity component is extrated,as well as apply Curvelet transform to the intensity component and infrared image.In the progress,luminance remapping techniques is used to remap curvelet low-frequency coefficient before they are fused in weighted average rule,and picking large value rule is used ...
Keywords:image fusion  Curvelet transform  luminance remapping  infrared image  color visible image
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机工程与应用》浏览原始摘要信息
点击此处可从《计算机工程与应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号