Wavelet filter design for image compression

Author

Stru, Tilo ; Muller, Erika

Author_Institution

Inst. fur Nachrichtentech. und Inf., Rostock Univ., Germany

fYear

1996

fDate

18-21 Jun 1996

Firstpage

273

Lastpage

276

Abstract

A new approach to wavelet filters optimized for image compression is proposed. Since the dyadic wavelet transform corresponds to convolutions of a signal with a high-pass and a low-pass filter in the time domain, it is useful to design the filters in the time domain aiming at a high energy compaction. The design technique introduced is based on a signal decomposition into suitable base functions. It is shown that this approach can lead to well-known wavelets, and furthermore the construction of new wavelet functions is possible

Keywords

band-pass filters; convolution; data compression; filtering theory; high-pass filters; image coding; low-pass filters; time-domain synthesis; transform coding; wavelet transforms; base functions; biorthogonal filter banks; dyadic wavelet transform; high energy compaction; high-pass filter; image compression; low-pass filter; orthogonal filter banks; signal convolution; signal decomposition; time domain design; wavelet filter design; wavelet functions; Compaction; Convolution; Convolutional codes; Discrete wavelet transforms; Equations; Filter bank; Image coding; Low pass filters; Signal design; Wavelet domain;

fLanguage

English

Publisher

ieee

Conference_Titel

Time-Frequency and Time-Scale Analysis, 1996., Proceedings of the IEEE-SP International Symposium on

Conference_Location

Paris

Print_ISBN

0-7803-3512-0

Type

conf

DOI

10.1109/TFSA.1996.547466

Filename

547466