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

Marie Babel (1) , Benoît Parrein (2) , Olivier Déforges (3) , Nicolas Normand (2) , Jean-Pierre Guédon (2) , Véronique Coat (1)

1 IETR - Institut d'Electronique et de Télécommunications de Rennes
2 IRCCyN - Institut de Recherche en Communications et en Cybernétique de Nantes
3 IETR - Institut d'Électronique et des Technologies du numéRique

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.

Keywords: scalable coding; UEP; LAR method; Mojette Transform

Domains: Signal and Image processing; Signal and Image Processing

Marie Babel, Benoît Parrein, Olivier Déforges, Nicolas Normand, Jean-Pierre Guédon, et al.. Joint source-channel coding: secured and progressive transmission of compressed medical images on the Internet. Computerized Medical Imaging and Graphics, 2008, 32 (4), pp.258-269. ⟨10.1016/j.compmedimag.2008.01.002⟩. ⟨hal-00273282⟩