Linear scalar quantization of wavelet image decomposition using joint optimization

Author

Abdelfattah, Riadh ; Rioul, Olivier ; Duhame, P.

Author_Institution

URISA, Ecole Super. des Commun., Ariana

fYear

2005

fDate

11-14 Dec. 2005

Firstpage

1

Lastpage

4

Abstract

This paper proposes a new linear scalar quantization algorithm. A modified Lloyd´s optimum algorithm, based on a linear quantization, is proposed to decompose a memory-less source into the bits. This is the case of the considered source which is the output of the wavelet transformation. The developed algorithm gives acceptable results for generalized Gaussian sources. Our approach is compared with the Lloyd max one´s and a second one where the quantization intervals are equiprobable.

Keywords

Gaussian processes; image coding; optimisation; vector quantisation; wavelet transforms; generalized Gaussian source; linear scalar quantization; linear scalar quantization algorithm; memory-less source; modified Lloyd optimum algorithm; quantization interval; wavelet image decomposition; wavelet transformation; Algorithm design and analysis; Image coding; Image communication; Image decomposition; Iterative algorithms; Iterative decoding; Low pass filters; Source coding; Telephony; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits and Systems, 2005. ICECS 2005. 12th IEEE International Conference on

Conference_Location

Gammarth

Print_ISBN

978-9972-61-100-1

Electronic_ISBN

978-9972-61-100-1

Type

conf

DOI

10.1109/ICECS.2005.4633410

Filename

4633410