Translator Disclaimer
29 January 2007 A comparative study of image compression based on directional wavelets
Author Affiliations +
Proceedings Volume 6508, Visual Communications and Image Processing 2007; 65081Q (2007)
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Discrete wavelet transform is an effective tool to generate scalable stream, but it cannot efficiently represent edges which are not aligned in horizontal or vertical directions, while natural images often contain rich edges and textures of this kind. Hence, recently, intensive research has been focused particularly on the directional wavelets which can effectively represent directional attributes of images. Specifically, there are two categories of directional wavelets: redundant wavelets (RW) and adaptive directional wavelets (ADW). One representative redundant wavelet is the dual-tree discrete wavelet transform (DDWT), while adaptive directional wavelets can be further categorized into two types: with or without side information. In this paper, we briefly introduce directional wavelets and compare their directional bases and image compression performances.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kun Li, Wenli Xu, Qionghai Dai, and Yao Wang "A comparative study of image compression based on directional wavelets", Proc. SPIE 6508, Visual Communications and Image Processing 2007, 65081Q (29 January 2007);


Performance issues in MPEG-4 VTC image coding
Proceedings of SPIE (June 23 2003)
Impact of rate control tools on very fast non embedded...
Proceedings of SPIE (January 29 2007)
Feature-preserving image/video compression
Proceedings of SPIE (October 26 2005)
EBCOT coprocessing architecture for JPEG2000
Proceedings of SPIE (January 18 2004)

Back to Top