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Deep Learning-based Blind Denoising for Enhancing Energy-dispersive X-ray Spectroscopy (EDS) Images

Published online by Cambridge University Press:  22 July 2022

Jack Taylor ,
Ke Chen ,
Yalin Zheng  and
Nigel D. Browning
Jack Taylor
Affiliation:
Distributed Algorithms CDT, University of Liverpool, Liverpool, UK
Ke Chen
Affiliation:
Department of Mathematical Sciences, University of Liverpool, Liverpool, UK
Yalin Zheng
Affiliation:
Department of Eye and Vision Science, University of Liverpool, Liverpool, UK
Nigel D. Browning
Affiliation:
Department of Mechanical, Materials, and Aerospace Engineering, University of Liverpool, Liverpool, UK Physical and Computational Sciences, Pacific Northwest National Lab, Richland, WA, USA Sivananthan Laboratories, Inc., Bolingbrook, Illinois, USA

Abstract

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Type
Quantitative and Qualitative Mapping of Materials
Information
Microscopy and Microanalysis , Volume 28 , Supplement S1 , August 2022 , pp. 508 - 509
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Copyright
Copyright © Microscopy Society of America 2022

References

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Lehtinen, J. et al. , arXiv preprint 1803.04189 (2018)Google Scholar
Batson, J. Royer, L. International Conference on Machine Learning (2019), p. 524.Google Scholar