Image compression by means of the multidimensional circulant covariance extension problem -- Revisited

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 extensio...

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Bibliographic Details
Published in:arXiv.org 2020-09
Main Authors: Benciolini, Tommaso, Grigoletto, Tommaso, Zorzi, Mattia
Format: Article
Language:English
Subjects:
Covariance
Image compression
Online Access:Get full text
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Summary: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.
ISSN:2331-8422