https://github.com/liuuuuu777/imagefusion-evaluation

This is the repo for Image Fusion evaluation, containing metric EN, CE, MI, FMI_pixel, FMI_dct, FMI_w, PSNR, MSSSIM, RMSE, SF, SD, Variance, EI, AG, VIF, Qcb, Qabf, CC, SCD, Nabf, Qcv.
https://github.com/liuuuuu777/imagefusion-evaluation

evaluation-functions matlab

Last synced: 4 months ago
JSON representation

This is the repo for Image Fusion evaluation, containing metric EN, CE, MI, FMI_pixel, FMI_dct, FMI_w, PSNR, MSSSIM, RMSE, SF, SD, Variance, EI, AG, VIF, Qcb, Qabf, CC, SCD, Nabf, Qcv.

Host: GitHub
URL: https://github.com/liuuuuu777/imagefusion-evaluation
Owner: liuuuuu777
Created: 2024-08-12T09:46:10.000Z (almost 2 years ago)
Default Branch: main
Last Pushed: 2024-08-13T08:27:43.000Z (almost 2 years ago)
Last Synced: 2025-05-13T00:06:04.077Z (about 1 year ago)
Topics: evaluation-functions, matlab
Language: MATLAB
Homepage:
Size: 177 KB
Stars: 6
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

          # Image Fusion Evaluation

## 📰 News

* [2024-08-12] **Open-sourcing evaluation code with 21 metrics for infrared and visible image fusion!** 

## 🗼 Platform

* Matlab

## 🚩 Structure of Folder

```

Dataset Folder

    ├─21_pairs_tno

    │  ├─ccfuse

    │  │    Fuse1.png

    │  │    Fuse10.png

    │  │    ......

    │  │

    │  ├─ir

    │  │    IR1.png

    │  │    IR10.png

    │  │    ......

    │  │

    │  └─vis

    │       VIS1.png

    │       VIS10.png

    │       ......     

    │

    ├─40_vot_tno

    │  ├─ir

    │  │    IR1.png

    │  │    IR11.png

    │  │    ......

    │  │

    │  └─vis

    │       VIS1.png

    │       VIS11.png

    │       ......

    │       

    └─output

        └─21_pairs_tno

            └─ccfuse

                ├─evaluation_metrics

                │      all_results.txt

                │

                └─evaluation_metrics_single

                        Fuse1.txt

                        Fuse10.txt

                        ......

                        output_single.xlsx

```

* As shown above, **21_pairs_tno** and **40_vot_tno** are the folders of the dataset, and **output** is the result after running evaluation.

* Take the dataset **21_pairs_tno** as an example. Folder **ir** holds the infrared images, referring to **the format of "IR1.png"**. Folder **vis** holds the infrared images, referring to the format of **"VIS1.png"**. Folder **ccfuse** holds the fused results, which name of refers to **"Fuse1.png"**. 

* **".png"**, **".jpg"** and **'.bmp'** are all allowed to use.

* Folder output classifies the data first by dataset and then by algorithm. **Evaluation_metrics** holds the average of all fused images, and **evaluation_metrics_single** holds fused images separately.

## 💁 Get Started

* Git clone the repository.

* Prepare the data as the structure of folder.

* Get to the project of top folder. 

* Change the default path in amain.m

```

vifb_path = "datasetexample\"; % better to use an absolute path

bench = "21_pairs_tno";

method = "ccfuse";

```

    

## 🖼️ Metrics

* Entropy(EN)

* Cross Entropy(CE)

* Mutual Information(MI)

* FMI_pixel

* FMI_dct

* FMI_w

* Peak signal to noise ratio(PSNR)

* MS structural similarity(MS-SSIM)

* Root mean square error(RMSE)

* Spaial Frequency(SF)

* Standard deviation(SD)

* Variance

* Edge Intensity(EI)

* Average gradient(AG)

* VIF

* Qcb

* Gradient based similarity measurement(Qabf)

* Correlation coefficient(CC)

* Sum of correlation differences(SCD)

* Nabf

* Qcv

## 📈 Star Rising

  

  

  

## 📋 Citation

Thanks to [Linfeng Tang](https://github.com/Linfeng-Tang/Image-Fusion/tree/main) and [Chenzhang Xing](https://github.com/xingchenzhang/VIFB) for the open source code, please cite these papers if you are using this code.

```bibtex

@article{Tang2022Survey,

  title={Deep learning-based image fusion: A survey},

  author={Tang, Linfeng and Zhang, Hao and Xu, Han and Ma, Jiayi},  

  journal={Journal of Image and Graphics}

  volume={28},

  number={1},

  pages={3--36},

  year={2023}

}

@article{Tang2022SuperFusion,

  title={SuperFusion: A versatile image registration and fusion network with semantic awareness},

  author={Tang, Linfeng and Deng, Yuxin and Ma, Yong and Huang, Jun and Ma, Jiayi},

  journal={IEEE/CAA Journal of Automatica Sinica},

  volume={9},

  number={12},

  pages={2121--2137},

  year={2022},

  publisher={IEEE}

}

@article{Ma2022SwinFusion,

  title={SwinFusion: Cross-domain Long-range Learning for General Image Fusion via Swin Transformer},

  author={Ma, Jiayi and Tang, Linfeng and Fan, Fan and Huang, Jun and Mei, Xiaoguang and Ma, Yong},

  journal={IEEE/CAA Journal of Automatica Sinica},

  volume={9},

  number={7},

  pages={1200--1217},

  year={2022},

  publisher={IEEE}

}

@article{TangSeAFusion,

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{Tang2022DIVFusion,

  title={DIVFusion: Darkness-free infrared and visible image fusion},

  author={Tang, Linfeng and Xiang, Xinyu and Zhang, Hao and Gong, Meiqi and Ma, Jiayi},

  journal={Information Fusion},

  volume = {91},

  pages = {477-493},

  year = {2023},

  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}

}

@inproceedings{zhang2020vifb,

title={VIFB: A Visible and Infrared Image Fusion Benchmark},

author={Zhang, Xingchen and Ye, Ping and Xiao, Gang},

booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},

year={2020}}  

@article{zhang2023visible,

title={Visible and Infrared Image Fusion Using Deep Learning},

author={Zhang, Xingchen and Demiris, Yiannis},

journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},

year={2023},

publisher={IEEE}}

```

ecosyste.ms

Data

Tools

Indexes

Applications

Experiments

Awesome

https://github.com/liuuuuu777/imagefusion-evaluation

Awesome Lists containing this project

README