Image denoising using deep CNN with batch renormalization(BRDNet)by Chunwei Tian, Yong Xu and Wangmeng Zuo is publised in Neural Networks, 2020. (https://www.sciencedirect.com/science/article/pii/S0893608019302394) and it is implemented by Keras.

This paper is pushed on home page of the Nueral Networks and BRDNet is collected by ihub in Pengcheng Laboratory. Additionally, it is reported by wechat public accounts at https://mp.weixin.qq.com/s/Jk6PlRBYorLI5FSa5xxOkw and https://mp.weixin.qq.com/s/dSCRx-6QW9bFDYQkDBGdLw.

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Deep convolutional neural networks (CNNs) have attracted great attention in the field of image denoising. However, there are two drawbacks: (1) It is very difficult to train a deeper CNN for denoising tasks, and (2) most of deeper CNNs suffer from performance saturation. In this paper, we report the design of a novel network called a batch-renormalization denoising network (BRDNet). Specifically, we com