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

نویسندگان

  • Marie Babel
  • Benoît Parrein
  • Olivier Déforges
  • Nicolas Normand
  • Jean-Pierre V. Guédon
  • Véronique Coat
چکیده

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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عنوان ژورنال:
  • Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society

دوره 32 4  شماره 

صفحات  -

تاریخ انتشار 2008