/Image-Denoising-with-Convolutional-Denoising-Autoencoders

Image denoising using convolutional denoising autoencoders

Primary LanguageJupyter NotebookMIT LicenseMIT

Image-denoising-using-convolutional-denoising-autoencoders

Image denoising using convolutional denoising autoencoders

Executing

The names of the notebook indicate the dataset names used to train the models. To see the code running follow these steps

  1. Install tensorflow, scipy, keras, pickle and jupyter notebook
  2. Open required notebook using jupyter notebook
  3. Change directory path of dataset and you are good to go!

Downloading dataset

  1. mini-MIAS dataset : http://peipa.essex.ac.uk/info/mias.html
  2. Dental X-Ray Dataset : https://mynotebook.labarchives.com/share/Vahab/MjAuOHw4NTc2Mi8xNi9UcmVlTm9kZS83NzM5OTk2MDZ8NTIuOA==