A new variational method for preserving point-like and curve-like singularities in 2D images

Daniele Graziani 1 Laure Blanc-Féraud 1 Gilles Aubert 2
1 ARIANA - Inverse problems in earth monitoring
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SIS - Signal, Images et Systèmes
2 JAD - Laboratoire Jean Alexandre Dieudonné
Abstract : We propose a new variational method to restore point-like and curve-like singularities in 2-D images. As points and open curves are fine structures, they are difficult to restore by means of first order derivative operators computed in the noisy image. In this paper we propose to use the Laplacian operator of the observed intensity, since it becomes singular at points and curves. Then we propose to restore these singularities by introducing suitable regularization involving the l-1-norm of the Laplacian operator. Results are shown on synthetic an real data.
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Communication dans un congrès
International Conference on Acoustics, Speech and Signal Processing, 2011, Prague, Czech Republic. 2011
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https://hal.inria.fr/inria-00592603
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Soumis le : vendredi 13 mai 2011 - 09:06:07
Dernière modification le : lundi 5 novembre 2018 - 15:52:01
Document(s) archivé(s) le : vendredi 9 novembre 2012 - 11:25:24

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Daniele Graziani, Laure Blanc-Féraud, Gilles Aubert. A new variational method for preserving point-like and curve-like singularities in 2D images. International Conference on Acoustics, Speech and Signal Processing, 2011, Prague, Czech Republic. 2011. 〈inria-00592603〉

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