Learning an Adaptive Dictionary Structure for Efficient Image Sparse Coding

Jérémy Aghaei Mazaheri 1, * Christine Guillemot 1 Claude Labit 1
* Auteur correspondant
1 Sirocco - Analysis representation, compression and communication of visual data
Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : We introduce a new method to learn an adaptive dictionary structure suitable for efficient coding of sparse representations. The method is validated in a context of satellite image compression. The dictionary structure adapts itself during the learning to the training data and can be seen as a tree structure whose branches are progressively pruned depending on their usage rate and merged into a single branch. This adaptive structure allows a fast search for the atoms and an efficient coding of their indices. It is also scalable in sparsity, meaning that once learned, the structure can be used for several sparsity values. We show experimentally that this adaptive structure offers better rate-distortion performances than the "flat" K-SVD dictionary, a dictionary structured in one branch, and the tree-structured K-SVD dictionary (called Tree K-SVD).
Type de document :
Communication dans un congrès
PCS - 30th Picture Coding Symposium - 2013, Dec 2013, San Jose, United States. 2013
Liste complète des métadonnées

Littérature citée [6 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-00876060
Contributeur : Jérémy Aghaei Mazaheri <>
Soumis le : mercredi 23 octobre 2013 - 15:47:51
Dernière modification le : jeudi 15 novembre 2018 - 11:57:53
Document(s) archivé(s) le : vendredi 24 janvier 2014 - 04:26:08

Fichier

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

Identifiants

  • HAL Id : hal-00876060, version 1

Citation

Jérémy Aghaei Mazaheri, Christine Guillemot, Claude Labit. Learning an Adaptive Dictionary Structure for Efficient Image Sparse Coding. PCS - 30th Picture Coding Symposium - 2013, Dec 2013, San Jose, United States. 2013. 〈hal-00876060〉

Partager

Métriques

Consultations de la notice

415

Téléchargements de fichiers

502