Two-dimensional trellis coded vector quantization of wavelet image

Author

Yong, Zheng ; Ning, He ; Weile, Zhu

Author_Institution

Coll. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

Volume

2

fYear

2002

fDate

29 June-1 July 2002

Firstpage

1078

Abstract

Based on the ideas of zerotree coding, vector classification, trellis coded quantization and small-size codebook expansion, the paper proposes a new encoding method of two-dimensional trellis coded vector quantization (2D-TCVQ) of a wavelet image with tree-structure vector combination and classification. Simulation results show that this method could achieve good compression results, and it has moderate encoding complexity and low decoding complexity. Also, the method is insensitive to channel error pervasion.

Keywords

image classification; image coding; transform coding; trees (mathematics); trellis codes; vector quantisation; wavelet transforms; 2D trellis coded vector quantization; channel error; codebook expansion; decoding complexity; encoding complexity; tree-structure vector classification; tree-structure vector combination; trellis coded quantization; two-dimensional trellis coded vector quantization; vector classification; wavelet image; zerotree coding; Classification tree analysis; Discrete wavelet transforms; Frequency; Helium; Image coding; Image reconstruction; Transform coding; Vector quantization; Wavelet domain; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Circuits and Systems and West Sino Expositions, IEEE 2002 International Conference on

Print_ISBN

0-7803-7547-5

Type

conf

DOI

10.1109/ICCCAS.2002.1178972

Filename

1178972