Image compression by means of the multidimensional circulant covariance extension problem -- Revisited
Optimization and Control
2020-09-08 v1
Abstract
We revisit the image compression problem using the framework introduced by Ringh, Karlsson and Lindquist. More precisely, we explore the possibility to consider a family of objective functions and a different way to design the prior in the corresponding multidimensional circulant covariance extension problem. The latter leads to refined compression paradigms.
Cite
@article{arxiv.2009.02508,
title = {Image compression by means of the multidimensional circulant covariance extension problem -- Revisited},
author = {Tommaso Benciolini and Tommaso Grigoletto and Mattia Zorzi},
journal= {arXiv preprint arXiv:2009.02508},
year = {2020}
}