基于互导滤波和显著性映射的红外可见光图像融合  

Infrared and Visible Image Fusion based on Mutually Guided Filtering and Saliency Map

作　　者：周怡 马佳义 黄珺 Zhou Yi;Ma Jiayi;Huang Jun(School of Electronic Information,Wuhan University,Wuhan 430072,China)

机构地区：[1]武汉大学电子信息学院,湖北武汉430072

出　　处：《遥感技术与应用》2020年第6期1404-1413,共10页Remote Sensing Technology and Application

基　　金：国家自然科学基金项目(61605146、61773295);湖北省自然科学基金项目(2019CFA037)。

摘　　要：为了解决传统多尺度红外可见光融合图像边缘模糊、对比度低和目标不显著的问题,提出一种基于互导滤波和显著性映射的红外可见光图像融合算法。由于互导滤波器能将图像一致结构和不一致结构分离并且具有尺度和保边意识,因此首先利用互导滤波器将原图像分解为具有冗余信息的结构层和不同尺度上具有互补信息的纹理层;其次根据过明或过暗区域更容易引起注意的视觉特点构造图像显著性映射函数对结构层和不同尺度的纹理层进行显著性映射;最后根据不同尺度的结构和纹理特性对图像进行融合重构。在两个数据集上的实验结果表明与传统的多尺度融合方法相比提出的方法在保持图像边缘、增强图像对比度、突出目标方面具有较好的主客观评价效果。In order to solve the problems of traditional multi-scale infrared visible fusion image with blurred edges,low contrast and inconspicuous targets,an infrared visible image fusion algorithm based on mutually guided filtering and saliency map is proposed.Firstly,the original images are decomposed into structure layers with redundant information and texture layers with complementary information at different scales by means of mutually guided filter,because the filter can separate the consistent structure from the inconsistent structure,and has the awareness of scale and edge preservation.Secondly,the visual saliency map function is constructed to map saliency of structure layers and texture layers of different scales according to the visual characteristics of the overlight or over-dark regions that are more likely to attract attention.Finally,according to the structure and texture characteristics of different scales,the final fusion image is reconstructed.The experimental results on two data sets show that compared with the traditional multi-scale fusion methods,the proposed method has a better subjective and objective evaluation effect in maintaining the image edge,enhancing the image contrast and highlighting the target.

关 键 词：互导滤波器 显著性映射 多尺度融合 红外 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]