Joint source-channel coding:: Secured and progressive transmission of compressed medical images on the Internet

被引：3
|
作者：
Babel, Marie [1 ]
Parrein, Benoit [2 ]
Deforges, Olivier [1 ]
Normand, Nicolas [2 ]
Guedon, Jean-Pierre [2 ]
Coat, Veronique [1 ]
机构：
[1] INSA Rennes, IETR UMR CNRS 6164, Image & Remote Sensing Grp, F-35043 Rennes, France
[2] CNRS, Image & Videocommun Team, IRCCyN, UMR 6597, F-44306 Nantes 3, France
来源：
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS | 2008年 / 32卷 / 04期
关键词：
medical image compression; LAR method; Mojette transform; scalability; priority encoding system;
D O I：
10.1016/j.compmedimag.2008.01.002
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
The joint source-channel coding system proposed in this paper has two aims: lossless compression with a progressive mode and the integrity of medical data, which takes into account the priorities of the image and the properties of a network with no guaranteed quality of service. In this context, the use of scalable coding, locally adapted resolution (LAR) and a discrete and exact Radon transform, known as the Mojette transform, meets this twofold requirement. In this paper, details of this joint coding implementation are provided as well as a performance evaluation with respect to the reference CALIC coding and to unequal error protection using Reed-Solomon codes. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码：258 / 269
页数：12
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