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Proceedings Paper

Real-time 3D adaptive filtering for portable imaging systems
Author(s): Olivier Bockenbach; Murtaza Ali; Ian Wainwright; Mark Nadeski
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Paper Abstract

Portable imaging devices have proven valuable for emergency medical services both in the field and hospital environments and are becoming more prevalent in clinical settings where the use of larger imaging machines is impractical. 3D adaptive filtering is one of the most advanced techniques aimed at noise reduction and feature enhancement, but is computationally very demanding and hence often not able to run with sufficient performance on a portable platform. In recent years, advanced multicore DSPs have been introduced that attain high processing performance while maintaining low levels of power dissipation. These processors enable the implementation of complex algorithms like 3D adaptive filtering, improving the image quality of portable medical imaging devices. In this study, the performance of a 3D adaptive filtering algorithm on a digital signal processor (DSP) is investigated. The performance is assessed by filtering a volume of size 512x256x128 voxels sampled at a pace of 10 MVoxels/sec.

Paper Details

Date Published: 16 March 2015
PDF: 8 pages
Proc. SPIE 9399, Image Processing: Algorithms and Systems XIII, 939909 (16 March 2015); doi: 10.1117/12.2081522
Show Author Affiliations
Olivier Bockenbach, ContextVision AB (Sweden)
Murtaza Ali, Texas Instruments Inc. (United States)
Ian Wainwright, ContextVision AB (Sweden)
Mark Nadeski, Texas Instruments Inc. (United States)


Published in SPIE Proceedings Vol. 9399:
Image Processing: Algorithms and Systems XIII
Karen O. Egiazarian; Sos S. Agaian; Atanas P. Gotchev, Editor(s)

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