Wavelets and wavelets-design issues

Author

Nguyen, Thong ; Gunawan, Dadang

Author_Institution

Dept. of Electr. & Electron. Eng., Tasmania Univ., Hobart, Tas., Australia

Volume

1

fYear

1994

fDate

14-18 Nov 1994

Firstpage

188

Abstract

This paper attempts to synthesise the wavelet theories to simple design procedures so that applied researchers can readily select or design wavelets with chosen characteristics for particular applications. The paper highlights the importance of the four most desirable characteristics of wavelets for use in digital signal processing, namely-orthonormality, symmetry, compactness and smoothness. Some of these characteristics are mutually exclusive and require design compromise. Examples of some most popular wavelets and the effects their characteristics have on the quality of the reconstructed image in wavelet-based image coding, are given for comparison

Keywords

image coding; image reconstruction; signal processing; signal synthesis; wavelet transforms; compactness; design issues; design procedures; digital signal processing; orthonormality; reconstructed image quality; smoothness; symmetry; wavelet theories; wavelet-based image coding; wavelets; Digital signal processing; Discrete Fourier transforms; Discrete wavelet transforms; Fourier transforms; Frequency; Signal resolution; Signal synthesis; Spatial resolution; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Singapore ICCS '94. Conference Proceedings.

Print_ISBN

0-7803-2046-8

Type

conf

DOI

10.1109/ICCS.1994.474080

Filename

474080