edoc-vmtest

Evaluation of image processing algorithms on ARM powered mobile devices

Demirovic, Damir and Serifovic-Trbalic, Amira and Prljaca, Naser and Cattin, Philippe C.. (2014) Evaluation of image processing algorithms on ARM powered mobile devices. In: 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2014 : 26 - 30 May 2014, Opatija, Croatia ; proceedings. Piscataway, pp. 417-420.

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Official URL: http://edoc.unibas.ch/dok/A6348362

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Abstract

Image processing plays an important role in medical image analysis. The most popular methods for image processing and analysis are very resource hungry, which leads to some disadvantages in their applications even on a powerful desktop computers. On the other side, modern mobile devices are equipped with powerful processors with an efficient instruction architecture. This lead to better performance per watt than a desktop CPUs. This work investigates the performance of a widely used medical analysis algorithm implemented on a modern mobile devices and desktop CPU. The results obtained with ARM NEON instructions show speed improvements up to 2 times. As this research shows mobile devices cannot yet compete with powerful desktop CPUs, even with using highly optimizations or multiple threads. In the last part of the paper conclusions are drawn for acceptable image input and parameter sizes.
Faculties and Departments:03 Faculty of Medicine > Departement Biomedical Engineering > Imaging and Computational Modelling > Center for medical Image Analysis & Navigation (Cattin)
UniBasel Contributors:Cattin, Philippe Claude
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Publisher:IEEE
Note:Publication type according to Uni Basel Research Database: Conference paper
Identification Number:
Last Modified:04 Sep 2015 14:32
Deposited On:03 Jul 2015 08:53

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