Variational Bayesian deep network for blind Poisson denoising

The training model parameter files can be downloaded here (google drive).

All methods are trained using the same synthetic dataset and tested on synthetic and real-world test sets. All methods use early stopping techniques.

how to test

python main.py --yaml yaml/test_fmd/*.yaml

@article{liang2023variational,
  title={Variational Bayesian deep network for blind Poisson denoising},
  author={Liang, Hao and Liu, Rui and Wang, Zhongyuan and Ma, Jiayi and Tian, Xin},
  volume = {143},
  pages={109810},
  year={2023},
  journal={Pattern Recognition},
  doi = {https://doi.org/10.1016/j.patcog.2023.109810},
  publisher={Elsevier}
}