Improved Image Partitioning for Compression and Representation using the Lab Color Space in the LAR Image Codec

Clément Strauss (1) , François Pasteau (1) , Marie Babel (1) , Olivier Déforges (2) , Laurent Bédat (1)

1 IETR - Institut d'Electronique et de Télécommunications de Rennes
2 IETR - Institut d'Électronique et des Technologies du numéRique

The LAR codec is an advanced image compression method relying on a quadtree partitioning of the image. The partitioning strongly impacts the LAR codec efficiency and enables both compression and representation efficiency. In order to increase the perceptual representation abilities without penalizing the compression efficiency we introduce and evaluate two partitioning criteria working in the Lab color space. These criteria are confronted to the original criterion and their compression and robustness performances are analyzed.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Clément Strauss, François Pasteau, Marie Babel, Olivier Déforges, Laurent Bédat. Improved Image Partitioning for Compression and Representation using the Lab Color Space in the LAR Image Codec. European Signal Processing Conference - EUSIPCO 2010, Aug 2010, Aalborg, Denmark. pp.1-5. ⟨hal-00544389⟩