Variable-rate vector quantizer design using genetic algorithm

Wen Jyi Hwang, Sheng Lin Hong

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

This letter presents a novel variable-rate vector quantizer (VQ) design algorithm, which is a hybrid approach combining a genetic algorithm with the entropy-constrained VQ (ECVQ) algorithm. The proposed technique outperforms the ECVQ algorithm in the sense that it reaches to a nearby global optimum rather than a local one. Simulation results show that, when applied to the image coding, the technique achieves higher PSNR and image quality than those of ECVQ algorithm.

Original languageEnglish
Pages (from-to)616-620
Number of pages5
JournalIEICE Transactions on Information and Systems
VolumeE81-D
Issue number6
Publication statusPublished - 1998
Externally publishedYes

Fingerprint

Genetic algorithms
Entropy
Image coding
Image quality

Keywords

  • Genetic algorithm
  • Global optimization
  • Vector quantization

ASJC Scopus subject areas

  • Information Systems
  • Computer Graphics and Computer-Aided Design
  • Software

Cite this

Variable-rate vector quantizer design using genetic algorithm. / Hwang, Wen Jyi; Hong, Sheng Lin.

In: IEICE Transactions on Information and Systems, Vol. E81-D, No. 6, 1998, p. 616-620.

Research output: Contribution to journalArticle

@article{e83b1e42f36d4ac6aa3c6f92b447687c,
title = "Variable-rate vector quantizer design using genetic algorithm",
abstract = "This letter presents a novel variable-rate vector quantizer (VQ) design algorithm, which is a hybrid approach combining a genetic algorithm with the entropy-constrained VQ (ECVQ) algorithm. The proposed technique outperforms the ECVQ algorithm in the sense that it reaches to a nearby global optimum rather than a local one. Simulation results show that, when applied to the image coding, the technique achieves higher PSNR and image quality than those of ECVQ algorithm.",
keywords = "Genetic algorithm, Global optimization, Vector quantization",
author = "Hwang, {Wen Jyi} and Hong, {Sheng Lin}",
year = "1998",
language = "English",
volume = "E81-D",
pages = "616--620",
journal = "IEICE Transactions on Information and Systems",
issn = "0916-8532",
publisher = "Maruzen Co., Ltd/Maruzen Kabushikikaisha",
number = "6",

}

TY - JOUR

T1 - Variable-rate vector quantizer design using genetic algorithm

AU - Hwang, Wen Jyi

AU - Hong, Sheng Lin

PY - 1998

Y1 - 1998

N2 - This letter presents a novel variable-rate vector quantizer (VQ) design algorithm, which is a hybrid approach combining a genetic algorithm with the entropy-constrained VQ (ECVQ) algorithm. The proposed technique outperforms the ECVQ algorithm in the sense that it reaches to a nearby global optimum rather than a local one. Simulation results show that, when applied to the image coding, the technique achieves higher PSNR and image quality than those of ECVQ algorithm.

AB - This letter presents a novel variable-rate vector quantizer (VQ) design algorithm, which is a hybrid approach combining a genetic algorithm with the entropy-constrained VQ (ECVQ) algorithm. The proposed technique outperforms the ECVQ algorithm in the sense that it reaches to a nearby global optimum rather than a local one. Simulation results show that, when applied to the image coding, the technique achieves higher PSNR and image quality than those of ECVQ algorithm.

KW - Genetic algorithm

KW - Global optimization

KW - Vector quantization

UR - http://www.scopus.com/inward/record.url?scp=0032092861&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032092861&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0032092861

VL - E81-D

SP - 616

EP - 620

JO - IEICE Transactions on Information and Systems

JF - IEICE Transactions on Information and Systems

SN - 0916-8532

IS - 6

ER -