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1 GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen 2 Equipe Image - Laboratoire GREYC - UMR6072 GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen

Abstract : We define a simple transform able to map any multi-valued image into a space of patches, such that each existing image patch is mapped into a single high-dimensional point. We show that solving variational problems on this particular space is an elegant way of finding the natural patch-based counterparts of classical image processing techniques, such as the \emph{Tikhonov} regularization and \emph{Lucas-Kanade} registration methods. We end up with interesting variants of already known non-variational patch-based algorithms, namely the \emph{Non Local Means} and \emph{Block Matching} techniques. The interest of considering variational approaches on patch spaces is discussed and illustrated by comparison results with corresponding non-variational and non-patch methods.





Autor: David Tschumperlé - Luc Brun -

Fuente: https://hal.archives-ouvertes.fr/



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