Secured and progressive transmission of compressed images on the Internet: application to telemedicine

Marie Babel (1) , Benoît Parrein (2) , Olivier Déforges (1) , Nicolas Normand (2) , Jean-Pierre Guédon (2) , Joseph Ronsin (1)

1 IETR - Institut d'Electronique et de Télécommunications de Rennes
2 IRCCyN - Institut de Recherche en Communications et en Cybernétique de Nantes

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 (ROI) processing is an important feature for a remote access to medical images. What is more, 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. This system provides a solution for secured transmission of medical images through low-bandwidth networks such as the Internet.

Domains: Signal and Image processing; Signal and Image Processing

Marie Babel, Benoît Parrein, Olivier Déforges, Nicolas Normand, Jean-Pierre Guédon, et al.. Secured and progressive transmission of compressed images on the Internet: application to telemedicine. SPIE 17th Annual Symposium / Electonic Imaging - Internet Imaging, Jan 2005, France. pp.126-136. ⟨hal-00132110⟩