Linear scalar quantization of wavelet image decomposition using joint optimization

Riadh Abdelfattah; Olivier Rioul; Pierre Duhamel

doi:10.1109/ICECS.2005.4633410

Linear scalar quantization of wavelet image decomposition using joint optimization

Riadh Abdelfattah
, Olivier Rioul
, Pierre Duhamel

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems
DOIs	https://doi.org/10.1109/ICECS.2005.4633410
Publication status	Published - 1 Dec 2005
Event	12th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2005 - Gammarth, Tunisia Duration: 11 Dec 2005 → 14 Dec 2005

Publication series

Name	Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems

Conference

Conference	12th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2005
Country/Territory	Tunisia
City	Gammarth
Period	11/12/05 → 14/12/05

Access to Document

10.1109/ICECS.2005.4633410

Cite this

Abdelfattah, R., Rioul, O., & Duhamel, P. (2005). Linear scalar quantization of wavelet image decomposition using joint optimization. In Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems Article 4633410 (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems). https://doi.org/10.1109/ICECS.2005.4633410

@inproceedings{165524356e3a4b34ae7e0b339233e410,

title = "Linear scalar quantization of wavelet image decomposition using joint optimization",

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.",

author = "Riadh Abdelfattah and Olivier Rioul and Pierre Duhamel",

year = "2005",

month = dec,

day = "1",

doi = "10.1109/ICECS.2005.4633410",

language = "English",

isbn = "9789972611001",

series = "Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems",

booktitle = "Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems",

note = "12th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2005 ; Conference date: 11-12-2005 Through 14-12-2005",

}

Abdelfattah, R, Rioul, O & Duhamel, P 2005, Linear scalar quantization of wavelet image decomposition using joint optimization. in Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems., 4633410, Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems, 12th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2005, Gammarth, Tunisia, 11/12/05. https://doi.org/10.1109/ICECS.2005.4633410

Linear scalar quantization of wavelet image decomposition using joint optimization. / Abdelfattah, Riadh; Rioul, Olivier; Duhamel, Pierre.
Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems. 2005. 4633410 (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Linear scalar quantization of wavelet image decomposition using joint optimization

AU - Abdelfattah, Riadh

AU - Rioul, Olivier

AU - Duhamel, Pierre

PY - 2005/12/1

Y1 - 2005/12/1

N2 - 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.

AB - 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.

U2 - 10.1109/ICECS.2005.4633410

DO - 10.1109/ICECS.2005.4633410

M3 - Conference contribution

AN - SCOPUS:56749175718

SN - 9789972611001

T3 - Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems

BT - Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems

T2 - 12th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2005

Y2 - 11 December 2005 through 14 December 2005

ER -

Linear scalar quantization of wavelet image decomposition using joint optimization

Abstract

Publication series

Conference

Access to Document

Fingerprint

Cite this