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J. Imaging 2018, 4(9), 104; https://doi.org/10.3390/jimaging4090104

GPU Accelerated Image Processing in CCD-Based Neutron Imaging

1
Chair of Biomedical Physics, Department of Physics and Munich School of BioEngineering, Technical University of Munich, 85748 Garching, Germany
2
Heinz Maier-Leibnitz Zentrum, Technical University of Munich, 85748 Garching, Germany
3
Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, 81675 München, Germany
*
Author to whom correspondence should be addressed.
Received: 17 July 2018 / Revised: 9 August 2018 / Accepted: 9 August 2018 / Published: 21 August 2018
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Abstract

Image processing is an important step in every imaging path in the scientific community. Especially in neutron imaging, image processing is very important to correct for image artefacts that arise from low light and high noise statistics. Due to the low global availability of neutron sources suitable for imaging, the development of these algorithms is not in the main scope of research work and once established, algorithms are not revisited for a long time and therefore not optimized for high throughput. This work shows the possible speed gain that arises from the usage of heterogeneous computing platforms in image processing along the example of an established adaptive noise reduction algorithm. View Full-Text
Keywords: neutron imaging; image processing; OpenCL; parallel processing; noise reduction neutron imaging; image processing; OpenCL; parallel processing; noise reduction
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Schock, J.; Michael, S.; Pfeiffer, F. GPU Accelerated Image Processing in CCD-Based Neutron Imaging. J. Imaging 2018, 4, 104.

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