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inria-00071507, version 1

Structure and texture compression

Jean-François Aujol 1, Basarab Matei

N° RR-5076 (2004)

Résumé : In this paper, we tackle the problem of image compression. During the last past years, many algorithms have been proposed to take advantage of the geometry of the image. We intend here to propose a new compression algorithm which would take into account the structures in the image, and which would be powerful even when the original image has some textured areas. To this end, we first split our image into two components, a first one containing the structures of the image, and a second one the oscillating patterns. We then perform the compression of each component separately. Our final compressed image is the sum of these two compressed components. This new compression algorithm outperforms the standard biorthogonal wavelets compession.

  • 1 :  ARIANA (INRIA Sophia Antipolis / Laboratoire I3S)
  • INRIA – Université Nice Sophia Antipolis [UNS] – CNRS : UMR7271
  • Domaine : Informatique/Autre
  • Mots-clés : BOUNDED VARIATION / IMAGE DECOMPOSITION / IMAGE COMPRESSION / WAVELETS / EDGE ADAPTED TECHNIQUE / STRUCTURE / TEXTURE
  • Référence interne : RR-5076
 
  • inria-00071507, version 1
  • oai:hal.inria.fr:inria-00071507
  • Contributeur : 
  • Soumis le : Mardi 23 Mai 2006, 17:48:06
  • Dernière modification le : Mercredi 31 Mai 2006, 14:24:25