Variable-rate vector quantizer design using genetic algorithm

Wen Jyi Hwang*, Sheng Lin Hong

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

2 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
頁(從 - 到)616-620
頁數5
期刊IEICE Transactions on Information and Systems
E81-D
發行號6
出版狀態已發佈 - 1998
對外發佈

ASJC Scopus subject areas

  • 軟體
  • 硬體和架構
  • 電腦視覺和模式識別
  • 電氣與電子工程
  • 人工智慧

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