# MeshFlow_Video_Denoising
**Repository Path**: roger-jin/MeshFlow_Video_Denoising
## Basic Information
- **Project Name**: MeshFlow_Video_Denoising
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: BSD-3-Clause
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-09-07
- **Last Updated**: 2024-09-07
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# MeshFlow_Video_Denoising
Source Code for MeshFlow Video Denoising

OpenCV Version:2.4.11
This source code may not have the same processing speed as the paper illustrated. Because I replace the original matching algorithm into a simple one. This may also influence the quality of the denoising result a little. For more project detail, including the academic paper, project abstract and test data, please visiting the project page at http://www.liushuaicheng.org/ICIP/2017/index.html.
# Usage
-----
1. Create a new folder `build`
2. Inside the folder, using the code below for cmake to build the project files:
```bash
cmake DCMAKE_BUILD_TYPE=Release ..
```
3. Move the test video into this new folder and run this project.
For `Visual Studio` users, when run the project file, you should change the `single startup project` option in the solution property into the correct one (not the `ALLBUILD.EXE`).
For Windows users, using `Cmakelists.txt` as the cmakelist. (Remember to change the path for the OpenCV build folder.)
For Linux users, using `Cmakelists_Linux.txt` as the cmakelist.
For further questions, feel free to contact me at `albuspeter.rzh@gmail.com`.
Thanks [Guo Heng](https://github.com/GH_HOME) who helped me on the Cmake lists.
# Citation
If you find this useful in your research, please cite our paper "Meshflow Video Denoising" ([PDF](https://ieeexplore.ieee.org/document/8296826)):
~~~
@inproceedings{ren2017meshflow,
title={Meshflow video denoising},
author={Ren, Zhihang and Li, Jiajia and Liu, Shuaicheng and Zeng, Bing},
booktitle={2017 IEEE International Conference on Image Processing (ICIP)},
pages={2966--2970},
year={2017},
organization={IEEE}
}
~~~