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

preprint2020arXivOpen access

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.

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