Using convolutional neural network denoising to reduce ambiguity in X-ray coherent diffraction imaging

Chu, K.-C.; Yeh, C.-H.; Lin, J.-M.; Chen, C.-Y.; Cheng, C.-Y.; Yeh, Y.-Q.; Huang, Y.-S.; Tsai, Y.-W.

doi:10.1107/S1600577524006519

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Figure 2
Group a: four images reconstructed using HIO within the top-10% reconstruction groups. Group b: four images within the top-10% reconstruction groups that appear unacceptable on visual inspection. Group c: Noise2Noise treated images corresponding to Group b. Note that all reconstructions are chosen by the indicator of Erf and start with random initial conditions.

JOURNAL OF
SYNCHROTRON
RADIATION

ISSN: 1600-5775

Volume 31| Part 5| September 2024|

https://doi.org/10.1107/S1600577524006519

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