A convolutional neural network for fast upsampling of undersampled tomograms in X-ray CT time-series using a representative highly sampled tomogram

Bellos, D.; Basham, M.; Pridmore, T.; French, A.P.

doi:10.1107/S1600577519003448

Journal of Synchrotron Radiation Journal of
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Figure 8
The training (A) and validation (B) PSNR graphs for the cubic interpolation (CI), the UDNN, the UDNN using large kernel sizes (UDNN-LK) and the one with small (UDNN-SK). The graphs depict the PSNR score from the initial 32400 epochs. The graphs do not show any further backpropagations as the network has converged and the PSNR score plateaus.

JOURNAL OF
SYNCHROTRON
RADIATION

ISSN: 1600-5775

Volume 26| Part 3| May 2019| Pages 839-853

https://doi.org/10.1107/S1600577519003448

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