A comparative study of image compression based on directional wavelets

Kun Li; Wenli Xu; Qionghai Dai; Yao Wang

doi:10.1117/12.698146

29 January 2007 A comparative study of image compression based on directional wavelets

Kun Li, Wenli Xu, Qionghai Dai, Yao Wang

Proceedings Volume 6508, Visual Communications and Image Processing 2007; 65081Q (2007) https://doi.org/10.1117/12.698146
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

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.

Citation Download Citation

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); https://doi.org/10.1117/12.698146

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