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 |
卷 | E81-D |
發行號 | 6 |
出版狀態 | 已發佈 - 1998 |
對外發佈 | 是 |
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