# Super-Resolution Convolutional Neural Network

This is our course project to reproduce and try to improve the Super-Resolution Convolutional Neural Network (SRCNN) from the paper [Image Super-Resolution Using Deep Convolutional Networks](https://arxiv.org/abs/1501.00092).

## Installation

Reusable general codes are kept in the `toolbox` Python package. To install it, run

```bash
pip install -e .
```

## Team Members

* [Zhe An](https://github.com/JasonAn)
* [Bili Dong](https://github.com/qobilidop)
* [Zheng Fang](https://github.com/Catus61)
* [Jiacong Li](https://github.com/jiacong1990)
* [Liyang Xiong](https://github.com/xiongliyang219)

## [References](https://github.com/qobilidop/srcnn/wiki/References)

# Super-Resolution Convolutional Neural Network

This is our course project to reproduce and try to improve the Super-Resolution Convolutional Neural Network (SRCNN) from the paper [Image Super-Resolution Using Deep Convolutional Networks](https://arxiv.org/abs/1501.00092).

## Installation

Reusable general codes are kept in the `toolbox` Python package. To install it, run

```bash
pip install -e .
```

## Team Members

* [Zhe An](https://github.com/JasonAn)
* [Bili Dong](https://github.com/qobilidop)
* [Zheng Fang](https://github.com/Catus61)
* [Jiacong Li](https://github.com/jiacong1990)
* [Liyang Xiong](https://github.com/xiongliyang219)

## See Also

* [References](https://github.com/qobilidop/srcnn/wiki/References)
* Various other [repositories on GitHub](https://github.com/search?utf8=%E2%9C%93&q=srcnn)

Add the See Also section
Add the See Also section
