Conference ProceedingsOPEN ACCESS

Image and Video Restoration and Compression Artefact Removal Using a NoGAN Approach

MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia (2020) 4539-4541
DOI: 10.1145/3394171.3414451
6Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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.

Author supplied keywords

Cite

CITATION STYLE

APA

Mameli, F., Bertini, M., Galteri, L., & Del Bimbo, A. (2020). Image and Video Restoration and Compression Artefact Removal Using a NoGAN Approach. In MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia (pp. 4539–4541). Association for Computing Machinery, Inc. https://doi.org/10.1145/3394171.3414451

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free