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17 January 2005 Secured and progressive transmission of compressed images on the Internet: application to telemedicine
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Within the framework of telemedicine, the amount of images leads first to use efficient lossless compression methods for the aim of storing information. Furthermore, multiresolution scheme including Region of Interest processing is an important feature for a remote access to medical images. Moreover, the securization of sensitive data (e.g. metadata from DICOM images) constitutes one more expected functionality: indeed the lost of IP packets could have tragic effects on a given diagnosis. For this purpose, we present in this paper an original scalable image compression technique (LAR method) used in association with a channel coding method based on the Mojette Transform, so that a hierarchical priority encoding system is elaborated. The LAR (Locally Adaptive Resolution) coder, based on an non-uniform subsampling of the image, is a multi-layered scheme that provides just as well lossless representation of data as very low-bit rates encoded images. The Mojette transform technique realizes multiple description of information elements in a very low order of complexity. These descriptions are transmitted without adding any specific mechanism for regulating flows purpose. This global system provides a solution for secured transmission of medical images through low-bandwidth networks such as the Internet.
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Marie Babel, Benoit Parrein, Olivier Deforges, Nicolas Normand, Jean-Pierre Guedon, and Joseph Ronsin "Secured and progressive transmission of compressed images on the Internet: application to telemedicine", Proc. SPIE 5670, Internet Imaging VI, (17 January 2005);


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