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# [DnCNN](http://www4.comp.polyu.edu.hk/~cslzhang/paper/DnCNN.pdf)
# [Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising](http://ieeexplore.ieee.org/document/7839189/)

**News:** [DRUNet](https://github.com/cszn/DPIR)

* State-of-the-art denoising performance

* Can be used for plug-and-play image restoration

* <img src="https://github.com/cszn/DPIR/raw/master/figs/grayscale_psnr.png" width="550px"/>

* [https://github.com/cszn/DPIR/blob/master/main_dpir_denoising.py](https://github.com/cszn/DPIR/blob/master/main_dpir_denoising.py)


# [PyTorch training and testing code](https://github.com/cszn/KAIR) - 18/12/2019


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**The average PSNR(dB) results of different methods on the BSD68 dataset.**

| Noise Level | BM3D | WNNM | EPLL | MLP | CSF |TNRD | DnCNN | DnCNN-B | FDnCNN |
|:-------:|:-------:|:-------:|:-------:|:-------:|:-------:|:-------:|:-------:|:-------:|:-------:|
| 15 | 31.07 | 31.37 | 31.21 | - | 31.24 | 31.42 | **31.73** | **31.61** |**31.69** |
| 25 | 28.57 | 28.83 | 28.68 | 28.96 | 28.74 | 28.92 | **29.23** | **29.16** |**29.22** |
| 50 | 25.62 |   25.87   | 25.67 | 26.03 |   -   | 25.97 | **26.23** | **26.23** | **26.27** |
| Noise Level | BM3D | WNNM | EPLL | MLP | CSF |TNRD | DnCNN | DnCNN-B | FDnCNN | DRUNet |
|:-------:|:-------:|:-------:|:-------:|:-------:|:-------:|:-------:|:-------:|:-------:|:-------:|:-------:|
| 15 | 31.07 | 31.37 | 31.21 | - | 31.24 | 31.42 | **31.73** | **31.61** |**31.69** | 31.91 |
| 25 | 28.57 | 28.83 | 28.68 | 28.96 | 28.74 | 28.92 | **29.23** | **29.16** |**29.22** | 29.48 |
| 50 | 25.62 | 25.87 | 25.67 | 26.03 | - | 25.97 | **26.23** | **26.23** | **26.27** | 26.59 |


**Visual Results**
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number={7},
pages={3142-3155},
}
@article{zhang2020plug,
title={Plug-and-Play Image Restoration with Deep Denoiser Prior},
author={Zhang, Kai and Li, Yawei and Zuo, Wangmeng and Zhang, Lei and Van Gool, Luc and Timofte, Radu},
journal={arXiv preprint},
year={2020}
}
```

====================================================================
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