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

被引：32

作者：

Hwang, WJ ^{[1
]}

Chine, CF ^{[1
]}

Li, KJ ^{[1
]}

机构：

[1] Chung Yuan Christian Univ, Dept Elect Engn, Chungli 32023, Taiwan

来源：

IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE | 2003年 / 7卷 / 01期

关键词：

image coding; telemedical communication network; wavelet transform;

D O I：

10.1109/TITB.2003.808499

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页码：54 / 63

页数：10

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