Multidimensional Noise Removal Method Based on PARAFAC Decomposition

Authors:
Florian Joyeux;Damien Letexier;Salah Bourennane;Jacques Blanc-Talon
Affiliations:
Institut Fresnel (CNRS UMR 6133),Univ. Paul Cézanne, Ecole Centrale Marseille, Marseille Cedex, France 13013;Institut Fresnel (CNRS UMR 6133),Univ. Paul Cézanne, Ecole Centrale Marseille, Marseille Cedex, France 13013;Institut Fresnel (CNRS UMR 6133),Univ. Paul Cézanne, Ecole Centrale Marseille, Marseille Cedex, France 13013;DGA/MRIS, Arcueil, France
Venue:
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Year:
2008

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Abstract

Multicomponent sensors are more and more developed since they allow to measure simultaneously several parameters. Thus, new kind of processing have been developed for some years. In this paper, we are particularly concerned with tensor signal processing for noise removal in multidimensional images. We adapt a PARAFAC based method to remove noise from multidimensional images. Some results on hyperspectral images and comparisons with a TUCKER3 based method are given.