这个仓库旨在实现常用的基于深度学习的图像去噪算法，主要参考如下：
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- Deep Learning for Image Denoising: A Survey，较为浅显的图像去噪综述。
- A non-local algorithm for image denoising
- Efficient Belief Propagation with Learned Higher-order Markov Random Fields
- Kernel-Predicting Convolutional Networks for Denoising Monte Carlo Renderings
- Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
- Block-Matching Convolutional Neural Network for Image Denoising
- Correction by Projection: Denoising Images with Generative Adversarial Networks
- Deep convolutional networks with residual learning for accurate spectral-spatial denoising
- Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
- Dilated Deep Residual Network for Image Denoising
- External Prior Guided Internal Prior Learning for Real-World Noisy Image Denoising
- DN-ResNet: Efficient Deep Residual Network for Image Denoising
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