红外与毫米波学报2025，Vol.44Issue(2)：289-298,10.DOI:10.11972/j.issn.1001-9014.2025.02.016
BDMFuse:基于红外与可见光图像基础特征和细节特征的多尺度融合
BDMFuse:Multi-scale network fusion for infrared and visible images based on base and detail features
摘要
Abstract
The fusion of infrared and visible images should emphasize the salient targets in the infrared image while preserving the textural details of the visible images.To meet these requirements,an autoencoder-based method for infrared and visible image fusion is proposed.The encoder designed according to the optimization ob-jective consists of a base encoder and a detail encoder,which is used to extract low-frequency and high-frequency information from the image.This extraction may lead to some information not being captured,so a compensation encoder is proposed to supplement the missing information.Multi-scale decomposition is also employed to extract image features more comprehensively.The decoder combines low-frequency,high-frequency and supplementary information to obtain multi-scale features.Subsequently,the attention strategy and fusion module are introduced to perform multi-scale fusion for image reconstruction.Experimental results on three datasets show that the fused images generated by this network effectively retain salient targets while being more consistent with human visual perception.关键词
红外图像/可见光图像/图像融合/编码器-解码器/多尺度特征Key words
infrared image/visible image/image fusion/encoder-decoder/multi-scale features分类
信息技术与安全科学引用本文复制引用
司海平,赵文汭,李婷婷,李飞涛,Fernando Bacao,孙昌霞,李艳玲..BDMFuse:基于红外与可见光图像基础特征和细节特征的多尺度融合[J].红外与毫米波学报,2025,44(2):289-298,10.基金项目
Supported by the Henan Province Key Research and Development Project(231111211300),the Central Government of Henan Province Guides Local Science and Technology Development Funds(Z20231811005),Henan Province Key Research and Development Project(231111110100),Henan Provincial Outstanding Foreign Scientist Studio(GZS2024006),and Henan Provincial Joint Fund for Scientific and Technological Research and De-velopment Plan(Application and Overcoming Technical Barriers)(242103810028) （231111211300）
