基于深度卷积神经网络图像去噪算法,深度卷积神经网络新算法,Python

# DnCNN-TensorFlow Simple implementation of the paper (DnCNN)'Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising' ## Introduction This code just simplely implement the paper [Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising](http://cn.arxiv.org/pdf/1608.03981), but there are some details of the code are different from the paper.  ## DataSets The datasets include 400 gray images, but i have croped them into 40x40 patches. the croped datasets can be downloaded from my [BaiduYun](https://pan.baidu.com/s/1Uiq29K2WLvOyeGlnRu8j_A) Examples of TrainingSet ||||||||| |-|-|-|-|-|-|-|-| ||||||||| ## Python packages ==================== 1. python3.5 2. tensorflow1.4.0 3. pillow 4. numpy 5. scipy ==================== ## Results of the code Trained about 1 epoch |Raw|Noised|Denoised| |-|-|-| |||| |||| |||| |||| |||| |||| ||||