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Communication Dans Un Congrès Année : 2014

Graph signal decomposition for multi-scale detail manipulation

Résumé

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.
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Dates et versions

hal-01024886 , version 1 (16-07-2014)

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Moncef Hidane, Olivier Lezoray, Abderrahim Elmoataz. Graph signal decomposition for multi-scale detail manipulation. International Conference on Image Processing, Oct 2014, Paris, France. 6 pp., ⟨10.1109/ICIP.2014.7025409⟩. ⟨hal-01024886⟩
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