Adaptable physics-based super-resolution for electron backscatter diffraction maps
Abstract In computer vision, single-image super-resolution (SISR) has been extensively explored using convolutional neural networks (CNNs) on optical images, but images outside this domain, such as those from scientific experiments, are not well investigated. Experimental data is often gathered usin...
Main Authors: | Devendra K. Jangid, Neal R. Brodnik, Michael G. Goebel, Amil Khan, SaiSidharth Majeti, McLean P. Echlin, Samantha H. Daly, Tresa M. Pollock, B. S. Manjunath |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-12-01
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Series: | npj Computational Materials |
Online Access: | https://doi.org/10.1038/s41524-022-00924-2 |
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