Abstract:Shearlet representation has gained more prominence in recent year as a flexible mathematical framework which enables the efficient analysis of anisotropic phenomena by combining multiscale analysis with the ability to handle directional information. Based on this, we present a new variational model for image decomposition in shearlet smoothness spaces. The new model can be seen as generalizations of Daubechies -Teschke's model. By replacing the Besov regularization term by a shearlet-based regularization term,… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.