Wavelet-based image coding using fuzzy inference and adaptive quantization

Author

Hsieh, Ming-Shing ; Tseng, Din-Chang

Author_Institution

Inst. of Comput. Sci. & Electron. Eng., Nat. Central Univ., Chung-li, Taiwan

Volume

2

fYear

2002

fDate

2002

Firstpage

265

Abstract

A class of image compression algorithms has been developed for exploiting dependencies between the hierarchical wavelet coefficients using zerotrees. The paper deals with a fuzzy inference filter for image entropy coding by choosing significant coefficients and zerotree roots in the higher frequency wavelet subbands. Moreover, an adaptive quantization is proposed to improve the coding performance. Evaluating with the popular images, the proposed approach is comparable or superior to most state-of-the-art coders.

Keywords

data compression; entropy; filtering theory; fuzzy logic; image coding; quantisation (signal); wavelet transforms; adaptive quantization; coding performance; fuzzy inference; fuzzy inference filter; hierarchical wavelet coefficients; image compression algorithms; image entropy coding; wavelet-based image coding; zerotrees; Clustering algorithms; Compaction; Computer science; Entropy coding; Finite impulse response filter; Frequency; Image coding; Inference algorithms; Information management; Quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2002. Proceedings. 16th International Conference on

ISSN

1051-4651

Print_ISBN

0-7695-1695-X

Type

conf

DOI

10.1109/ICPR.2002.1048289

Filename

1048289