Universal TCQ in wavelet image coding

Author

Kasner, James H. ; Marcellin, Michael W. ; Hunt, B.R.

Author_Institution

Optivision Inc., Davis, CA, USA

fYear

1996

fDate

3-6 Nov. 1996

Firstpage

1279

Abstract

The discrete wavelet transform has emerged as a powerful tool for the lossy compression of imagery. In this work, an adaptive still-image wavelet coder is presented. The coder is based on a variant of entropy-constrained trellis coded quantization (ECTCQ). This new form of ECTCQ is called universal trellis coded quantization (UTCQ) and offers several advantages over previous versions of ECTCQ, including no computationally expensive training algorithm, and no stored codebooks. Perceptual coding improvements of the UTCQ coding system are also presented.

Keywords

adaptive codes; data compression; entropy codes; image coding; quantisation (signal); rate distortion theory; transform coding; transforms; trellis codes; wavelet transforms; ECTCQ; UTCQ coding; adaptive still-image wavelet coder; discrete wavelet transform; entropy-constrained trellis coded quantization; image coding; lossy image compression; perceptual coding improvements; universal trellis coded quantization; Algorithm design and analysis; Binary trees; Discrete wavelet transforms; Distributed computing; Encoding; Image coding; Iterative algorithms; Labeling; Quantization; Rate-distortion;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1996. Conference Record of the Thirtieth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-8186-7646-9

Type

conf

DOI

10.1109/ACSSC.1996.599151

Filename

599151