Skip to content

Conducting research in cell-microscopy image denoising, using self-supervised machine learning techniques, with Dr. Jonathan Ventura

License

Notifications You must be signed in to change notification settings

JRice15/self-supervised-poisson-gaussian

 
 

Repository files navigation

Self-Supervised Poisson-Gaussian Denoising

Code for our paper "Self-Supervised Poisson-Gaussian Denoising".

Dependencies

  • Python 3.6
  • Tensorflow
  • scikit-image
  • Keras
  • tqdm

Dataset download

bash download_fmd.sh

Training

To train various models on the Confocal Mice dataset:

python train_fmd.py --path ./dataset --dataset Confocal_MICE --mode uncalib ;
python train_fmd.py --path ./dataset --dataset Confocal_MICE --mode poissongaussian --reg 1 ;

To test the trained models:

python test_fmd.py --path ./dataset --dataset Confocal_MICE --mode uncalib ; 
python test_fmd.py --path ./dataset --dataset Confocal_MICE --mode poissongaussian --reg 1 ; 

About

Conducting research in cell-microscopy image denoising, using self-supervised machine learning techniques, with Dr. Jonathan Ventura

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Languages

  • Python 92.7%
  • Shell 6.9%
  • Dockerfile 0.4%