无线电工程Issue(8)：30-34,5.DOI:10.3969/j.issn.1003-3106.2015.08.09
基于Contourlet变换的红外与可见光图像融合方法
A Method for Fusion of Infrared and Visible Images Based on Contourlet Transform
于振海 1张珍明 1陈茹1
作者信息
- 1. 第二炮兵指挥学院，湖北 武汉430012
- 折叠
摘要
Abstract
Aiming at the features of infrared and visible images and the advantages of multi⁃scale and multiple directions in the Contourlet transform,this paper proposes a method for fusion of infrared and visible images based on Contourlet transform.Firstly,the original images are decomposed by using Contourlet transform to obtain low and high frequency coefficients.The different fusion rules are used based on the different features of low and high frequency coefficients.For low frequency coefficients,the weighted regional standard variance fusion rule is adopted in view of the image average characteristics.For high frequency coefficients,and a fusion rule based on multi⁃scale is adopted in the view of different scale with different information. The maximum absolute coefficients are used with bigger scales.The rest scales are divided into two parts:small and big coefficients.This paper chooses the biggest absolute coefficient with big coefficients,and adopts the coefficients with maximum regional power of small coefficients. Finally, the final fusion image is acquired through Contourlet inverse transform.The simulation results show that the proposed method is superior both in vision and in objective evaluation compared with traditional image fusion methods,and can get more useful information from original images and better image fusion.关键词
Contourlet变换/图像融合/红外图像/可见光图像Key words
contourlet transform/image fusion/infrared image/visible image分类
信息技术与安全科学引用本文复制引用
于振海,张珍明,陈茹..基于Contourlet变换的红外与可见光图像融合方法[J].无线电工程,2015,(8):30-34,5.
