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WojciechTyczynski/Autoencoders-for-image-quality-improvement-with-OMHU

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Autoencoders for image quality improvement with OMHU

Final Project 02456 DEEP LEARNING, DTU COMPUTE, AUTUMN 2021

Files:

  • DL_final_Project_CAE_best_version_noise.ipynb - final CAE for quality improvement if images form CIFAR-10 and STL10 datasets
  • final.pth - trained CAE (from DL_final_Project_CAE_best_version_noise.ipynb) for image quality improvement
  • brightness.ipynb - CAE for repairing brightness issue of images from CIFAR-10 dataset
  • noise.ipynb - CAE for repairing noise issue of images from CIFAR-10 dataset
  • DL_final_Project_CAE_reconstruction.ipynb - Base CAE for image reconstruction from the CIFAR-10 dataset

*Project was created with use of Google Colab and require access to Google drive to save models and results.

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