Adaptive wavelet technique for effective storage and fast Internet transmission of medical images

被引：0

作者：

Kustov, V ^{[1
]}

Srinivasan, P ^{[1
]}

Mitra, S ^{[1
]}

Shishkin, S ^{[1
]}

Mehrl, D ^{[1
]}

机构：

[1] Texas Tech Univ, Dept Elect Engn, Lubbock, TX 79409 USA

来源：

13TH IEEE SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS 2000), PROCEEDINGS | 2000年

关键词：

D O I：

10.1109/CBMS.2000.856903

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Medical imaging is characterized by strict requirements and high standards for image acquisition, storage, and processing. These requirements and standards translate into large image files that need to be processed, stored and transmitted fast, preferably in real time. The wavelet decomposition using the adaptive algorithm described below maximizes information in the traditional low-resolution part, thus allowing only one fourth of the size of the original image to be processed for effective archiving, and transmission without appreciable loss.

引用

页码：221 / 226

页数：6

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