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Authors: Jan Horáček 1 ; Jan Kolomazník 1 ; Josef Pelikán 1 and Martin Horák 2

Affiliations: 1 Charles University in Prague, Czech Republic ; 2 Na Homolce Hospital, Czech Republic

Keyword(s): Denoising, Volumetric data, GPU, OpenCL, Nonlocal means.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Image Enhancement and Restoration ; Image Formation and Preprocessing ; Implementation of Image and Video Processing Systems ; Medical Imaging ; Pattern Recognition ; Software Engineering

Abstract: Volumetric data is currently gradually being used more and more in everyday aspect of our lives. Processing such data is computationally expensive and until now more sophisticated algorithms could not be used. The possibilities of processing such data have considerably widened since the increase of parallel computational power in modern GPUs. We present a novel scheme for running a nonlocal means denoising algorithm on a commodity-grade GPU. The speedup is considerable, shortening the time needed for denoise one abdominal CT scan in minutes instead of hours without compromising the result quality. Such approach allows for example lowering the radiation doses for patients being examined with a CT scan.

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Paper citation in several formats:
Horáček, J.; Kolomazník, J.; Pelikán, J. and Horák, M. (2011). DENOISING VOLUMETRIC DATA ON GPU. In Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications (VISIGRAPP 2011) - IMAGAPP; ISBN 978-989-8425-46-1, SciTePress, pages 143-146. DOI: 10.5220/0003355001430146

@conference{imagapp11,
author={Jan Horáček. and Jan Kolomazník. and Josef Pelikán. and Martin Horák.},
title={DENOISING VOLUMETRIC DATA ON GPU},
booktitle={Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications (VISIGRAPP 2011) - IMAGAPP},
year={2011},
pages={143-146},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003355001430146},
isbn={978-989-8425-46-1},
}

TY - CONF

JO - Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications (VISIGRAPP 2011) - IMAGAPP
TI - DENOISING VOLUMETRIC DATA ON GPU
SN - 978-989-8425-46-1
AU - Horáček, J.
AU - Kolomazník, J.
AU - Pelikán, J.
AU - Horák, M.
PY - 2011
SP - 143
EP - 146
DO - 10.5220/0003355001430146
PB - SciTePress