Image and Video Restoration and Compression Artefact Removal Using a NoGAN Approach
Filippo Mameli, Marco Bertini, Leonardo Galteri, Alberto Del Bimbo · 2020
Lossy image and video compression algorithms introduce several types of visual artefacts that reduce the visual quality of the compressed media. In this work, we report results obtained using the NoGAN training approach and adapting the popular DeOldify architecture used for colorization, for image and video compression artefact removal and restoration.