Quantizer and Entropy Effects on EBCOT Based Compression

Author

Gunter, Carl A. ; Rothermel, Albrecht

Author_Institution

Univ. of Ulm, Ulm

Volume

53

Issue

2

fYear

2007

fDate

5/1/2007 12:00:00 AM

Firstpage

661

Lastpage

666

Abstract

Detailed process analysis and different optimization strategies are necessary in order to make wavelet based image processing algorithms usable for portable multimedia devices. Besides optimizing the hardware structures for better performance, the overall processing load has to be minimized as proposed in this paper. Analyzing the image content adoptively for all decomposition levels and subbands, signal entropy can be reduced to obtain shorter code words after the entropy coder. We propose a reduction of the data accuracy in the quantizer for high compression rates, saving up to 28% processing power without compromising the image quality.

Keywords

data compression; entropy codes; image coding; wavelet transforms; data accuracy reduction; decomposition levels; entropy coder; image content; image quality; portable multimedia devices; quantizer; signal entropy; wavelet based image processing algorithms; Discrete wavelet transforms; Entropy; Filter bank; Image analysis; Image coding; Image processing; Low pass filters; Multiresolution analysis; Quantization; Wavelet analysis;

fLanguage

English

Journal_Title

Consumer Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0098-3063

Type

jour

DOI

10.1109/TCE.2007.381743

Filename

4266956