Inverse problem formulation for regularity estimation in images

Abstract : The identification of texture changes is a challenging problem that can be addressed by considering local regularity fluctuations in an image. This work develops a procedure for local regularity estimation that combines a convex optimization strategy with wavelet leaders, specific wavelet coefficients recently introduced in the context of multifractal analysis. The proposed procedure is formulated as an inverse problem that combines the joint estimation of both local regularity exponent and of the optimal weights underlying regularity measurement. Numerical experiments using synthetic texture indicate that the performance of the proposed approach compares favorably against other wavelet based local regularity estimation formulations. The method is also illustrated with an example involving real-world texture.
Type de document :
Communication dans un congrès
International Conference on Image Processing (ICIP 2014), Oct 2014, Paris, France. Proceedings of IEEE International Conference on Image Processing, pp. 6081-6085, 2014
Liste complète des métadonnées

Littérature citée [21 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01399871
Contributeur : Open Archive Toulouse Archive Ouverte (oatao) <>
Soumis le : lundi 21 novembre 2016 - 10:05:39
Dernière modification le : mercredi 12 septembre 2018 - 17:46:03
Document(s) archivé(s) le : lundi 20 mars 2017 - 20:37:47

Fichier

pustelnik_15172.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01399871, version 1
  • OATAO : 15172

Citation

Nelly Pustelnik, Patrice Abry, Herwig Wendt, Nicolas Dobigeon. Inverse problem formulation for regularity estimation in images. International Conference on Image Processing (ICIP 2014), Oct 2014, Paris, France. Proceedings of IEEE International Conference on Image Processing, pp. 6081-6085, 2014. 〈hal-01399871〉

Partager

Métriques

Consultations de la notice

87

Téléchargements de fichiers

44