Evaluation-for-Image-Fusion

June 10, 2026 · View on GitHub

Quantitative evaluation metrics for image fusion. 源代码位于 '. /Evaluation' ；源图像请放在 './Image/Source-Image'目录下； 融合结果请放在'./Image/Algorithm'目录下。

✨ News

  • [2026-06-02] 我们的论文 《DSPFusion: Image Fusion via Degradation and Semantic Dual-Prior Guidance》 被 IEEE Transactions on Image Processing (IEEE TIP) 正式接收！[论文] [arXiv] [Code]
  • [2026-02-21] 我们的论文 《VideoFusion: A Spatio-Temporal Collaborative Network for Multi-modal Video Fusion》 被 CVPR 2026（The IEEE/CVF Conference on Computer Vision and Pattern Recognition） 正式接收！[论文] [arXiv] [Code]
  • [2025-09-18] 我们的论文 《ControlFusion: A Controllable Image Fusion Framework with Language-Vision Degradation Prompts》 被 NeurIPS 2025 (Advances in Neural Information Processing Systems) 正式接收！[论文下载] [Code]
  • [2025-09-10] 我们的论文 《Mask-DiFuser: A Masked Diffusion Model for Unified Unsupervised Image Fusion》 被 IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 正式接收！[论文下载] [Code]
  • [2025-03-15] 我们的论文 《C2RF: Bridging Multi-modal Image Registration and Fusion via Commonality Mining and Contrastive Learning》 被 International Journal of Computer Vision (IJCV) 正式接收！[论文下载] [Code]
  • [2025-02-11] 发布大规模红外与可见光视频融合数据集 M2VD: Multi-modal Multi-scene Video Dataset。[Dataset]
  • [2024-12-26] 我们的综述 《基于深度学习的图像融合方法综述》 荣获 中国图象图形学报优秀论文奖！[新闻] [论文下载] [Code]
  • [2024-11-28] 我们的论文 《Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network (SeAFusion)》 荣获 Information Fusion Best Paper Award 2024（最佳论文奖）！[论文下载] [Code]
  • [2024-09] 我们的综述 《基于深度学习的图像融合方法综述》 入选 空天信息科技期刊高影响力论文（全国共14篇）！[论文下载] [Code]
  • [2024-07-16] 我们的论文 《DRMF: Degradation-Robust Multi-Modal Image Fusion via Composable Diffusion Prior》 被 ACM MM 2024 正式接收！[论文下载] [Code]
  • [2023-06-05] 我们的论文 《Rethinking the necessity of image fusion in high-level vision tasks: A practical infrared and visible image fusion network based on progressive semantic injection and scene fidelity》 被 Information Fusion 正式接收！[论文下载] [Code]
  • [2022-07-29] 我们的综述论文 《基于深度学习的图像融合方法综述》 被 中国图象图形学报 正式接收！[论文下载]

Evaluation for single image

 1. 修改Evaluation_for_single_image.m 文件中源图像和融合结果的路径
 2. 运行Evaluation_for_single_image.m

Evaluation for single algorithm

 1. 修改Evaluation_for_single_algorithm.m 文件中源图像和融合结果的路径
 2. 运行Evaluation_for_single_algorithm.m

Evaluation for multi algorithm

 1. 修改Evaluation_for_multi_algorithm.m 文件中源图像和融合结果的路径
 2. 运行Evaluation_for_multi_algorithm.m

Tips

如果具有一定Matlab编程基础的用户可以直接尝试运行Evaluation_for_single_algorithm.m或者Evaluation_for_multi_algorithm.m来评估一个或多个算法的性能，如果对Matlab不熟练的话，请先从单幅图像评估开始。

对于图像融合领域的论文整理已开源至：https://github.com/Linfeng-Tang/Image-Fusion

Citation

如果我们的程序对你有所帮助请引用以下论文：

@article{Tang2024Mask-DiFuser,
  author={Tang, Linfeng and Li, Chunyu and Ma, Jiayi},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
  title={Mask-DiFuser: A Masked Diffusion Model for Unified Unsupervised Image Fusion}, 
  year={2025},
  volume={},
  number={},
  pages={1-18},
 }

@article{Tang2024C2RF,
	title={C2RF: Bridging Multi-modal Image Registration and Fusion via Commonality Mining and Contrastive Learning}, 
	author={Tang, Linfeng and Yan, Qinglong and Xiang, Xinyu and Fang, Leyuan and Ma, Jiayi},
	journal={International Journal of Computer Vision}, 
	pages={5262--5280},
	volume={133},
	year={2025},
}

@inproceedings{Tang2024DRMF,
    title={DRMF: Degradation-Robust Multi-Modal Image Fusion via Composable Diffusion Prior},
    author={Tang, Linfeng and Deng, Yuxin and Yi, Xunpeng and Yan, Qinglong and Yuan, Yixuan and Ma, Jiayi},
    booktitle=Proceedings of the ACM International Conference on Multimedia,
    year={2024}
}

@article{Tang2022SeAFusion,
title = {Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network},
author = {Linfeng Tang and Jiteng Yuan and Jiayi Ma},
journal = {Information Fusion},
volume = {82},
pages = {28-42},
year = {2022},
issn = {1566-2535},
publisher={Elsevier}
}

@article{Tang2022PIAFusion,
  title={PIAFusion: A progressive infrared and visible image fusion network based on illumination aware},
  author={Tang, Linfeng and Yuan, Jiteng and Zhang, Hao and Jiang, Xingyu and Ma, Jiayi},
  journal={Information Fusion},
  volume = {83-84},
  pages = {79-92},
  year = {2022},
  issn = {1566-2535},
  publisher={Elsevier}
}

@article{ma2021STDFusionNet,
  title={STDFusionNet: An Infrared and Visible Image Fusion Network Based on Salient Target Detection},
  author={Jiayi Ma, Linfeng Tang, Meilong Xu, Hao Zhang, and Guobao Xiao},
  journal={IEEE Transactions on Instrumentation and Measurement},
  year={2021},
  volume={70},
  number={},
  pages={1-13},
  doi={10.1109/TIM.2021.3075747}，
  publisher={IEEE}
}

如果有任何问题请联系：linfeng0419@gmail.com