基于Retinex增强的多尺度分解的红外与可见光图像融合算法  

Infrared and visible image fusion algorithm based on Retinex-enhanced multiscale decomposition

作　　者：郭印 杜丽霞[1] GUO Yin;DU Lixia(School of Electronics and Information Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China)

机构地区：[1]兰州交通大学电子与信息工程学院,甘肃兰州730070

出　　处：《Journal of Measurement Science and Instrumentation》2024年第2期176-184,共9页测试科学与仪器（英文版）

基　　金：supported by National Natural Science Foundation of China(No.62063014)。

摘　　要：针对传统红外与可见光图像融合算法在低照度条件下融合结果对比度差、目标边际模糊、背景细节信息丢失等问题,提出一种基于Retinex增强的多尺度分解的红外与可见光图像融合算法。首先,利用Retinex对弱可见光图像进行单尺度Retinex(SSR)算法信息增强处理;其次,利用交叉双边滤波对源图像进行多尺度分解,先后得到图像的基层图像信息和细节层图像信息,对基础层图像采用绝对值取大策略和引导滤波相结合的融合方法,对细节层图像采用构建权重图和显著图的融合方法;最后,将处理后的基础层图像和细节层图像加权得到融合图像。从主观分析来看,本文方法可以有效提取和融合源图像中的重要信息,得到融合质量高、视觉效果自然清晰的图像。从客观评价来看,多组图像融合结果表明,本文所提方法的AG、SF、CE和FMI指标均较好。Aiming at the problems of poor contrast of fusion results,blurring of target margins and loss of background detail information under low illumination conditions of traditional infrared and visible image fusion algorithms,an infrared and visible image fusion algorithm based on multi-scale decomposition with Retinex enhancement was proposed.Firstly,the single-scale Retinex(SSR)algorithm information enhancement process was performed on the weak visible image using Retinex.Secondly,the source image was multi-scale decomposed using cross bilateral filtering to successively obtain the image information of the base layer image and the detail layer,and the fusion method combining the absolute value maximization strategy and guided filtering was used for the base layer image,and the fusion method of constructing weight map and significant map was used for the detail layer image.Finally,the processed base layer image and detail layer image were weighted to obtain the fused image.From the subjective analysis,the proposed method could effectively extract and fuse the important information in the source image,and obtain the image with high fusion quality and natural and clear visual effect.From the objective evaluation,the average accuracy of the proposed method on AG,SF,CE,and FMI was optimal when compared quantitatively with various fusion results.

关 键 词：图像融合 红外与可见光图像 RETINEX算法 多尺度分解 引导滤波 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TN219[自动化与计算机技术—计算机科学与技术]