Preserving data integrity of encoded medical images: the LAR compression framework

Marie Babel 1, * François Pasteau 2 Clément Strauss 2 Maxime Pelcat 2 Laurent Bédat 2 Médéric Blestel 2 Olivier Déforges 2
* Corresponding author
1 Lagadic - Visual servoing in robotics, computer vision, and augmented reality
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : Through the development of medical imaging systems and their integration into a complete information system, the need for advanced joint coding and network services becomes predominant. PACS (Picture Archiving and Communication System) aims to acquire, store and compress, retrieve, present and distribute medical images. These systems have to be accessible via the Internet or wireless channels. Thus protection processes against transmission errors have to be added to get a powerful joint source-channel coding tool. Moreover, these sensitive data require confidentiality and privacy for both archiving and transmission purposes, leading to use cryptography and data embedding solutions. This chapter introduces data integrity protection and developed dedicated tools of content protection and secure bitstream transmission for medical encoded image purposes. In particular, the LAR image coding method is defined together with advanced securization services.
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Marie Babel, François Pasteau, Clément Strauss, Maxime Pelcat, Laurent Bédat, et al.. Preserving data integrity of encoded medical images: the LAR compression framework. Advances in Reasoning-Based Image Processing Intelligent Systems, Springer, pp.1-35, 2012. ⟨hal-00658130⟩

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