Image processing is an important step in every imaging path in the scientific community.\nEspecially in neutron imaging, image processing is very important to correct for image artefacts\nthat arise from low light and high noise statistics. Due to the low global availability of neutron\nsources suitable for imaging, the development of these algorithms is not in the main scope of\nresearch work and once established, algorithms are not revisited for a long time and therefore not\noptimized for high throughput. This work shows the possible speed gain that arises from the usage\nof heterogeneous computing platforms in image processing along the example of an established\nadaptive noise reduction algorithm.
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