电子科技2026，Vol.39Issue(10)：71-77,7.DOI:10.16180/j.cnki.issn1007-7820.2026.10.008
基于联合训练的红外与可见光图像配准融合算法
Infrared and Visible Image Registration Fusion Algorithm Based on Joint Training
摘要
Abstract
The fusion of infrared and visible light images achieves complementary information enhancement in the entire scene through the information interaction of heterogeneous multimodal images.In view of the problem that the existing fusion methods cannot effectively handle unaligned image pairs,this study proposes an infrared and visible light image registration and fusion algorithm based on joint training,treating image fusion and image registra-tion as the same task.The backbone network adopts a loss-back structure,enabling the fused image to play the role of a feedback unit.The fusion loss is transmitted to the registration network,and a coarse-to-fine registration strate-gy is introduced in the registration stage to gradually improve the accuracy of the registration network.The AM(At-tention Modul)is added to the fusion network to achieve adaptive feature fusion.The quantitative and qualitative ex-perimental results on multiple benchmark datasets show that the performance and image fusion quality of the pro-posed algorithm are superior to those of similar registration and fusion algorithms without joint training.关键词
红外和可见光图像/图像配准/图像融合/联合训练/注意力机制/编解码器结构/深度学习Key words
infrared and visible images/image registration/image fusion/joint training/attention mecha-nism/codec structure/deep learning分类
信息技术与安全科学引用本文复制引用
邢浩杰,杨旭..基于联合训练的红外与可见光图像配准融合算法[J].电子科技,2026,39(10):71-77,7.基金项目
水声技术全国重点实验室稳定支持计划(JCKYS2024604SSJS003) Stable Support Plan for National Key Laboratory of Uunderwater Acoustic Technology(JCKYS2024604SSJS003) （JCKYS2024604SSJS003）
