Denoising time-resolved microscopy image sequences with singular value thresholding
Time-resolved imaging in microscopy is important for the direct observation of a range of dynamic processes in both the physical and life sciences. However, the image sequences are often corrupted by noise, either as a result of high frame rates or a need to limit the radiation dose received by the...
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| Hauptverfasser: | , , |
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| Sprache: | Englisch |
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Elsevier
2019
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| Online-Zugang: | https://demo7.dspace.org/handle/123456789/472 |
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