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Joint source-channel coding: secured and progressive transmission of compressed medical images on the Internet
Marie Babel1, Benoît Parrein, Olivier Déforges
1IETR UMR CNRS 6164, Image and Remote Sensing Group, INSA of Rennes, CS 14315, 35043 Rennes, France. Marie.Babel@insa-rennes.fr
Abstract:
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.
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