Video enhancement with convex optimization methods
Benoit Boyadjis, Andrei I. Purica, Béatrice Pesquet-Popescu, Frédéric Dufaux
Abstract
Video enhancement methods enable to optimize the viewing of video content at the end-user side. Most approaches do not consider the compressed nature of the available content. In the present work, we build upon a recently proposed video enhancement approach that explicitly models a compression stage. To apply the enhancement framework on compressed representations requires to extract specific syntax elements during their decoding. This additional information embeds the enhanced result in a domain that closely fits the observation. We evaluate the framework performance in a single source resolution enhancement scenario, and show the method efficiency with respect to state-of-the-art approaches.
BibTeX
@inproceedings{icassp2018_videoenhancement,
title = {Video enhancement with convex optimization methods},
author = {Benoit Boyadjis and Andrei I. Purica and Béatrice Pesquet-Popescu and Frédéric Dufaux},
booktitle = {ICASSP 2018},
year = {2018}
}