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ml-image-denoising

Image denoising using PCA, NMF, SVD, Spectral decomposition, CNN and state of the art generative adversarial denoising autoencoder

How to run

require pip, virtualenv and git

./install.sh

You should download the CelebA dataset from website (you're looking for a file called img_align_celeba.zip). Unzip into the parent directory /.. then run

python dataprocessing.py

This will crop the images to the right size and store them in HDF5 format.

Currently, we only process 5 batches * 1024 images

Next run the dcgan notbook.

jupyter notebook

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Image denoising using PCA, NMF, K-SVD, Spectral decomposition, CNN and state of the art generative adversarial denoising autoencoder

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