Fuzzy channel-optimized vector quantization for image coding

Wen Jyi Hwang, Chin Tsai Lin

研究成果: 書貢獻/報告類型會議論文篇章

摘要

A novel vector quantizer (VQ) design algorithm for noisy channels is presented in this paper. The algorithm, termed fuzzy channel-optimized vector quantizer (FCOVQ) design algorithm, performs the codeword training using an optimal fuzzy clustering technique where the channel noise is taken into account. In the existing crisp channel-optimized VQ (CCOVQ) design algorithms, the quantization accuracy is traded for less sensitivity to channel noise. However, because of utilizing the optimal fuzzy clustering process for VQ design, the FCOVQ algorithm can effectively reduce the sensitivity to channel noise while maintaining the quantization accuracy. Therefore, given the same noisy channel, the FCOVQ can have better rate-distortion performance than that of the CCOVQ techniques.

原文英語
主出版物標題Image and Multidimensional Signal ProcessingMultimedia Signal Processing
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1895-1898
頁數4
ISBN(電子)0780362934
DOIs
出版狀態已發佈 - 2000 一月 1
事件25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 - Istanbul, 土耳其
持續時間: 2000 六月 52000 六月 9

出版系列

名字ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
4
ISSN(列印)1520-6149

其他

其他25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000
國家/地區土耳其
城市Istanbul
期間2000/06/052000/06/09

ASJC Scopus subject areas

  • 軟體
  • 訊號處理
  • 電氣與電子工程

指紋

深入研究「Fuzzy channel-optimized vector quantization for image coding」主題。共同形成了獨特的指紋。

引用此