Genetic entropy-constrained vector quantizer design algorithm

Wen Jyi Hwang*, Sheng Lin Hong

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


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 is presented. The proposed technique outperforms the ECVQ algorithm in the sense that it reaches a nearby global optimum rather than a local one. Simulation results show that, when applied to image coding, the technique achieves higher peak SNR (PSNR) and image quality than techniques using the ECVQ algorithm.

Original languageEnglish
Pages (from-to)233-239
Number of pages7
JournalOptical Engineering
Issue number2
Publication statusPublished - 1999 Feb
Externally publishedYes


  • Genetic algorithm
  • Global optimization
  • Image compression
  • Vector quantization

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • General Engineering


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