Title
Adaptive Wavelet Transform for Image Compression via Directional Quincunx Lifting
Abstract
We propose a novel adaptive wavelet transform that exploits local image properties for image compression. It combines wavelet filters adaptive to edge orientations with quincunx subsampling to form a 2-D nonseparable transform through lifting. Filter selections are efficiently represented. Significant improvement on both subjective and objective quality over the conventional separable transform is observed. In addition, unlike previous adaptive transforms, the symmetry in quincunx subsampling enables even quality for image features along different directions and the compression performance is insensitive to image orientation
Year
DOI
Venue
2005
10.1109/MMSP.2005.248564
MMSP
Keywords
Field
DocType
directional quincunx lifting,image quality,image coding,local image properties,wavelet transforms,2-d nonseparable transform,data compression,image orientation,transform coding,adaptive filters,wavelet filters,adaptive wavelet transform,quincunx subsampling,image compression,image features,wavelet transform
Computer vision,Harmonic wavelet transform,Quincunx,Pattern recognition,Lifting scheme,Computer science,Second-generation wavelet transform,Artificial intelligence,Discrete wavelet transform,Stationary wavelet transform,Wavelet,Wavelet transform
Conference
ISBN
Citations 
PageRank 
0-7803-9289-2
19
1.70
References 
Authors
8
3
Name
Order
Citations
PageRank
Chuo-Ling Chang124718.15
Arian Maleki280357.52
Bernd Girod389881062.96