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16 March 2015 Real-time 3D adaptive filtering for portable imaging systems
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Proceedings Volume 9399, Image Processing: Algorithms and Systems XIII; 939909 (2015)
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Olivier Bockenbach, Murtaza Ali, Ian Wainwright, and Mark Nadeski "Real-time 3D adaptive filtering for portable imaging systems", Proc. SPIE 9399, Image Processing: Algorithms and Systems XIII, 939909 (16 March 2015);

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