GPU accelerated image processing in CCD-based neutron imaging
Schock J, Schulz M, Pfeiffer F (2018)
Publication Type: Journal article
Publication year: 2018
Journal
Book Volume: 4
Article Number: 104
Journal Issue: 9
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.
Involved external institutions
Germany (DE)How to cite
APA:
Schock, J., Schulz, M., & Pfeiffer, F. (2018). GPU accelerated image processing in CCD-based neutron imaging. Journal of Imaging, 4(9). https://doi.org/10.3390/jimaging4090104
MLA:
Schock, Jonathan, Michael Schulz, and Franz Pfeiffer. "GPU accelerated image processing in CCD-based neutron imaging." Journal of Imaging 4.9 (2018).
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