Multibandwidth wavelet-transform image coding using zerotrees

Author

Demirciler, Ediz S. ; Freeman, George H.

Author_Institution

Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada

Volume

1

fYear

1995

Firstpage

148

Abstract

A wavelet transform with multibandwidth channels is investigated for image coding. It offers improved frequency resolution and good compression efficiency. For effective coding, the multibandwidth transform is accompanied by (1) the use of zerotrees (proposed by Shapiro (see IEEE Trans. Signal Proc., vol.41, p.3445-3462, 1993)) to predict insignificant information across scales; and (2) entropy coding (done by an adaptive arithmetic code). Optimised bit allocations for the orthonormal and biorthogonal multibandwidth decompositions are derived. The use of different wavelets to perform different stages of the decomposition is shown to be advantageous. Empirical compression results are presented for individual test images

Keywords

adaptive codes; arithmetic codes; entropy codes; image coding; image resolution; transform coding; trees (mathematics); wavelet transforms; adaptive arithmetic code; biorthogonal multibandwidth decomposition; compression efficiency; empirical compression results; entropy coding; frequency resolution; multibandwidth channels; multibandwidth transform; multibandwidth wavelet transform image coding; optimised bit allocations; orthonormal multibandwidth decomposition; test images; zerotrees; Bandwidth; Bit rate; Discrete wavelet transforms; Entropy coding; Filters; Frequency; Image coding; Multiresolution analysis; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1995. Canadian Conference on

Conference_Location

Montreal, Que.

ISSN

0840-7789

Print_ISBN

0-7803-2766-7

Type

conf

DOI

10.1109/CCECE.1995.528096

Filename

528096