Simple implementation of the paper (DnCNN)'Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising'

This code just simplely implement the paper Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising, but there are some details of the code are different from the paper.

The datasets include 400 gray images, but i have croped them into 40x40 patches. the croped datasets can be downloaded from my BaiduYun

Examples of TrainingSet

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1. python3.5
2. tensorflow1.4.0
3. pillow
4. numpy
5. scipy

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Trained about 1 epoch

Raw	Noised	Denoised