# Classic-and-state-of-the-art-image-fusion-methods

**Repository Path**: change__zh/Classic-and-state-of-the-art-image-fusion-methods

## Basic Information

- **Project Name**: Classic-and-state-of-the-art-image-fusion-methods
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-09-01
- **Last Updated**: 2025-08-22

## Categories & Tags

**Categories**: Uncategorized

**Tags**: image-fusion

## README

# Classic-and-state-of-the-art-image-fusion-methods

## Introduction

我会上传一些我在论文中用到的对比实验的算法，虽然包含了一部分，但还是有非常多的代码还未收集。

I will upload some comparative experiment algorithms that I used in the paper. Although some of them are included, there are still a lot of codes that have not yet been collected.



如果可以帮到你，感谢简单引用一下我们的文章。（下面标号为**"0"**的文章）

If you got some help, thank you for simply quoting our article. (The article labeled "0" below)



最近在赶大论文和小论文，过段时间再继续更新

I’m working hard to write my graduation paper and academic paper recently, and I will continue to update it later



## Methods

### 0.1 [PerceptualFusion](https://github.com/thfylsty/imagefusion_Perceptual_FusionGan)

Fu, Yu, Xiao-Jun Wu, and Tariq Durrani. "Image fusion based on generative adversarial network consistent with perception." *Information Fusion* (2021).

```
@article{fu2021image,
  title={Image fusion based on generative adversarial network consistent with perception},
  author={Fu, Yu and Wu, Xiao-Jun and Durrani, Tariq},
  journal={Information Fusion},
  year={2021},
  publisher={Elsevier}
}
```

### 0.2 [Dualbranch_Fusion](https://github.com/thfylsty/ImageFusion_Dualbranch_Fusion)

```
@inproceedings{fu2021dual,
  title={A Dual-branch Network for Infrared and Visible Image Fusion},
  author={Fu, Yu and Wu, Xiao-Jun},
  booktitle={2020 25th International Conference on Pattern Recognition},
  year={2020}
}
```

### 0.3 [DeepDecFusion](https://github.com/thfylsty/ImageFusion_DeepDecFusion)

```
@article{fu2021deep,
  title={A Deep Decomposition Network for Image Processing: A Case Study for Visible and Infrared Image Fusion},
  author={Fu, Yu and Wu, Xiao-Jun and Kittler, Josef},
  journal={arXiv preprint arXiv:2102.10526},
  year={2021}
}
```



### 1. CBF Image Fusion 

B. S. Kumar, “Image fusion based on pixel significance using cross bilateral filter,” Signal, image and video processing, vol. 9, no. 5, pp. 1193–1204, 2015

```
@article{kumar2015image,
	title={Image fusion based on pixel significance using cross bilateral filter},
	author={Kumar, BK Shreyamsha},
	journal={Signal, image and video processing},
	volume={9},
	number={5},
	pages={1193--1204},
	year={2015},
	publisher={Springer}
}
```



### 2. DenseFuse

H. Li and X.-J. Wu, “Densefuse: A fusion approach to infrared and visible images,” IEEE Transactions on Image Processing, vol. 28, no. 5, pp. 2614–2623, 2018.

```
@article{li2018densefuse,
	title={Densefuse: A fusion approach to infrared and visible images},
	author={Li, Hui and Wu, Xiao-Jun},
	journal={IEEE Transactions on Image Processing},
	volume={28},
	number={5},
	pages={2614--2623},
	year={2018},
	publisher={IEEE}
}
```