Graph signal decomposition for multi-scale detail manipulation
HIDANE, Moncef
Institut de Mathématiques de Bordeaux [IMB]
Laboratoire de l'intégration, du matériau au système [IMS]
Institut de Mathématiques de Bordeaux [IMB]
Laboratoire de l'intégration, du matériau au système [IMS]
HIDANE, Moncef
Institut de Mathématiques de Bordeaux [IMB]
Laboratoire de l'intégration, du matériau au système [IMS]
< Leer menos
Institut de Mathématiques de Bordeaux [IMB]
Laboratoire de l'intégration, du matériau au système [IMS]
Idioma
en
Communication dans un congrès
Este ítem está publicado en
International Conference on Image Processing, 2014-10-27, Paris. 2014-11-01p. 6 pp.
Resumen en inglés
In this paper we introduce a new unified framework for multi- scale detail manipulation of graph signals. The key to this unification is to model any kind of data as signals defined on appropriate weighted graphs. Graph ...Leer más >
In this paper we introduce a new unified framework for multi- scale detail manipulation of graph signals. The key to this unification is to model any kind of data as signals defined on appropriate weighted graphs. Graph signals are represented as the sum of successive layers, each capturing a given scale of detail. Detail layers are obtained through a series of reg- ularization procedures based on total variation penalization over graphs. Layers are then processed separately before be- ing recombined, thus achieving detail manipulation. The ben- efit of the approach is shown on images, 3D meshes and 3D colored point clouds.< Leer menos
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