  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.
