Research Article
Towards a Mobile Implementation of Waaves for Certified Medical Image Compression in E-Health Applications
@INPROCEEDINGS{10.1007/978-3-642-37893-5_9, author={Imen Mhedhbi and Khalil Hachicha and Patrick Garda and Yuhui Bai and Bertrand Granado and S\^{e}bastien Topin and Sylvain Hochberg}, title={Towards a Mobile Implementation of Waaves for Certified Medical Image Compression in E-Health Applications}, proceedings={Wireless Mobile Communication and Healthcare. Third International Conference, MobiHealth 2012, Paris, France, November 21-23, 2012, Revised Selected Papers}, proceedings_a={MOBIHEALTH}, year={2013}, month={4}, keywords={Medical images Image compression Motion detection Markov Models SSIM FPGAs NIOS II HW/SW co-design Medical devices}, doi={10.1007/978-3-642-37893-5_9} }- Imen Mhedhbi
Khalil Hachicha
Patrick Garda
Yuhui Bai
Bertrand Granado
Sébastien Topin
Sylvain Hochberg
Year: 2013
Towards a Mobile Implementation of Waaves for Certified Medical Image Compression in E-Health Applications
MOBIHEALTH
Springer
DOI: 10.1007/978-3-642-37893-5_9
Abstract
In this article, we present two studies that pave the way towards a mobile implementation of the WAAVES certified medical image compression encoder. On the algorithmic side, we compared three techniques to increase the compression rate. The obtained results show a significant bit-rate reduction, around 40% with respect to the WAAVES encoder, while keeping the same visual quality. On the architectural side, we describe the HW/SW co-design of an architecture implemented in a FPGA platform. By using code profiling, critical portions of the code were identified, then two methods for hardware acceleration were used to implement the critical part of the coder. The tests were done on a StratixIVGX230 FPGA and the results showed that HW/SW co-design could achieve up to 20x performance gain in the critical portion. The combination of these results demonstrates the feasibility of a mobile implementation of the WAAVES certified medical image coder suitable for e-health applications.