Image Blind Denoising with Generative Adversarial Network Based Noise Modeling

@article{Chen2018ImageBD,
  title={Image Blind Denoising with Generative Adversarial Network Based Noise Modeling},
  author={Jingwen Chen and Jiawei Chen and Hongyang Chao and Ming Wei Yang},
  journal={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2018},
  pages={3155-3164}
}
In this paper, we consider a typical image blind denoising problem, which is to remove unknown noise from noisy images. As we all know, discriminative learning based methods, such as DnCNN, can achieve state-of-the-art denoising results, but they are not applicable to this problem due to the lack of paired training data. To tackle the barrier, we propose a novel two-step framework. First, a Generative Adversarial Network (GAN) is trained to estimate the noise distribution over the input noisy… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 39 REFERENCES

Benchmarking Denoising Algorithms with Real Photographs

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2017
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Wasserstein GAN

VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

From Noise Modeling to Blind Image Denoising

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2016
VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL

Multiscale Image Blind Denoising

  • IEEE Transactions on Image Processing
  • 2015
VIEW 7 EXCERPTS
HIGHLY INFLUENTIAL

Weighted Nuclear Norm Minimization with Application to Image Denoising

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition
  • 2014
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Nonlocally Centralized Sparse Representation for Image Restoration

  • IEEE Transactions on Image Processing
  • 2013
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Learning Deep CNN Denoiser Prior for Image Restoration

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2017
VIEW 3 EXCERPTS