Scalable medical data compression and transmission using wavelet transform for telemedicine applications

Wen-Jyi Hwang*, Ching Fung Chine, Kuo Jung Li

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

37 引文 斯高帕斯(Scopus)

摘要

In this paper, a novel medical data compression algorithm, termed layered set partitioning in hierarchical trees (LSPIHT) algorithm, is presented for telemedicine applications. In the LSPIHT, the encoded bit streams are divided into a number of layers for transmission and reconstruction. Starting from the base layer, by accumulating bit streams up to different enhancement layers, we can reconstruct medical data with various signal-to-noise ratios (SNRs) and/or resolutions. Receivers with distinct specifications can then share the same source encoder to reduce the complexity of telecommunication networks for telemedicine applications. Numerical results show that, besides having low network complexity, the LSPIHT attains better rate-distortion performance as compared with other algorithms for encoding medical data.

原文英語
頁(從 - 到)54-63
頁數10
期刊IEEE Transactions on Information Technology in Biomedicine
7
發行號1
DOIs
出版狀態已發佈 - 2003 三月

ASJC Scopus subject areas

  • 生物技術
  • 電腦科學應用
  • 電氣與電子工程

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