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Proceedings Paper

A comparative study of image compression based on directional wavelets
Author(s): Kun Li; Wenli Xu; Qionghai Dai; Yao Wang
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Paper Abstract

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.

Paper Details

Date Published: 29 January 2007
PDF: 8 pages
Proc. SPIE 6508, Visual Communications and Image Processing 2007, 65081Q (29 January 2007); doi: 10.1117/12.698146
Show Author Affiliations
Kun Li, Tsinghua Univ. (China)
Wenli Xu, Tsinghua Univ. (China)
Qionghai Dai, Tsinghua Univ. (China)
Yao Wang, Polytechnic Univ. (United States)


Published in SPIE Proceedings Vol. 6508:
Visual Communications and Image Processing 2007
Chang Wen Chen; Dan Schonfeld; Jiebo Luo, Editor(s)

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