Joint source-channel coding: secured and progressive transmission of compressed medical images on the Internet.
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.
Babel
Marie
M
IETR UMR CNRS 6164, Image and Remote Sensing Group, INSA of Rennes, CS 14315, 35043 Rennes, France. Marie.Babel@insa-rennes.fr
Parrein
Benoît
B
Déforges
Olivier
O
Normand
Nicolas
N
Guédon
Jean-Pierre
JP
Coat
Véronique
V
D000465:Algorithms; D016494:Computer Security; D044962:Data Compression / Q000379:methods*; D003952:Diagnostic Imaging; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D020407:Internet; D009716:Numerical Analysis, Computer-Assisted; D012815:Signal Processing, Computer-Assisted