红外技术2024，Vol.46Issue(3)：280-287,8.
M-SWF域红外与可见光图像结构相似性融合
Structural Similarity Fusion of Infrared and Visible Image in the M-SWF Domain
摘要
Abstract
This study introduces a multiscale sliding window filter(M-SWF)image fusion method to address issues with traditional filter banks in infrared and visible image fusion.First,a multiscale image decomposition method based on SWF is proposed to extract the structural detail layers and base layers of the source image.Second,the L1 norm fusion rule(L1-Fusion,L1F)is used to integrate the structural detail layers,which can extract the structure of the image.Then,to highlight the salient objects,energy attribute fusion(EAF),which is a rule for fusing image energy contributions,is used to integrate the base layers,and the fusion results are obtained by stacking the integrated multiscale structure detail layers and base layers.The energy contribution coefficient was analyzed,and a suitable energy contribution coefficient was obtained for the fusion of infrared and visible images in the M-SWF domain from subjective and objective perspectives.Compared with other fusion methods,the M-SWF not only improves the ability to extract the structural information of the source image but also improves the poor fusion effect and effectively highlights salient targets by integrating the energy attributes of the image.关键词
红外图像/可见光图像/图像融合/滑动窗口滤波器/结构相似性Key words
infrared image/visible image/image fusion/side window filter/structural similarity分类
计算机与自动化引用本文复制引用
李威,田时舜,刘广丽,邹文斌..M-SWF域红外与可见光图像结构相似性融合[J].红外技术,2024,46(3):280-287,8.基金项目
国家自然科学基金项目(62171294,62101344),广东省自然科学基金(2022A1515010159),深圳自然科学基金(JCYJ20200109105832261,JCYJ20190808122409660),深圳市科技计划重点项目(20220810180617001). （62171294,62101344）
