Paper Info
Title
Improved image partitioning for compression and representation using the lab color space in the LAR image codec
Abstract
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.
Year
Venue
Field
2010
European Signal Processing Conference
Computer vision,Set partitioning in hierarchical trees,Computer science,Transform coding,Pyramid (image processing),Artificial intelligence,Data compression,Codec,Image compression,Lab color space,Quadtree
DocType
ISSN
Citations 
Conference
2219-5491
0
PageRank 
References 
Authors
0.34
7
5
Name
Order
Citations
PageRank
clement strauss131.33
François Pasteau2396.87
M. Babel3396.28
Olivier Déforges417641.52
Laurent Bédat5295.51