Secured and progressive transmission of compressed images on the Internet:: application to telemedicine

被引:1
|
作者
Babel, M [1 ]
Parrein, B [1 ]
Déforges, O [1 ]
Normand, N [1 ]
Guédon, JP [1 ]
Ronsin, J [1 ]
机构
[1] INSA Rennes, Image & Remote Sensing Grp, CNRS, UMR 6164,IETR, F-35043 Rennes, France
来源
Internet Imaging VI | 2005年 / 5670卷
关键词
LAR method; medical image compression; Moiette transform; multiresolution; priority encoding system;
D O I
10.1117/12.589191
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Within the framework of telemedicine, the amount of images leads first to use efficient lossless compression methods for the aim of storing information. Furthermore, multiresolution scheme including Region of Interest (ROI) processing is an important feature for a remote access to medical images. What is more, the securization of sensitive data (e.g. metadata from DICOM images) constitutes one more expected functionality: indeed the lost of IP packets could have tragic effects on a given diagnosis. For this purpose, we present in this paper an original scalable image compression technique (LAR method) used in association with a channel coding method based on the Mojette Transform, so that a hierarchical priority encoding system is elaborated. This system provides a solution for secured transmission of medical images through low-bandwidth networks such as the Internet.
引用
收藏
页码:126 / 136
页数:11
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