Adaptive color quantization using the baker's transformation

Christophe Montagne 1 Sylvie Lelandais 1 André Smolarz 2 Philippe Cornu 3 Mohamed-Chaker Larabi 4 Christine Fernandez-Maloigne 4
1 TADIB
IBISC - Informatique, Biologie Intégrative et Systèmes Complexes
2 M2S
ISTIT - Institut des Sciences et Technologies de l'Information de Troyes
Abstract : In this article we propose an original technique to reduce the number of colors contained in an image. This method uses the "Bakers Transformation", which obtains a statistically suitable mixture of the pixels of the image. mm this mixture, we can extract several samples, which present the same characteristics as the initial image. The concept we imagined is to consider these samples as potential pallets of colors. These pallets make it possible to do an adaptive quantization of the efiectiue number of colors. We consider, and we put in competition, three methods to obtain a single pallet. Firstly, we present the "Baker 's Transformation". Secondly, we present methods to have a single pallet. Third part is dedicated to results illustrating the good visual quality reached by the quantized images. Finally, we present a comparison between our method and three classical methods of quantization.
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-00342254
Contributeur : Frédéric Davesne <>
Soumis le : mercredi 5 février 2014 - 19:09:56
Dernière modification le : mercredi 8 novembre 2017 - 13:16:01
Document(s) archivé(s) le : lundi 5 mai 2014 - 22:05:41

Fichier

JEI_2006.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Christophe Montagne, Sylvie Lelandais, André Smolarz, Philippe Cornu, Mohamed-Chaker Larabi, et al.. Adaptive color quantization using the baker's transformation. Journal on Electronic Imaging, 2006, 15 (2), (elec. proc.). 〈10.1117/1.2199854〉. 〈hal-00342254〉

Partager

Métriques

Consultations de la notice

229

Téléchargements de fichiers

39