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...

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Bibliographic Details
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
Format: Article
Language:English
Published: Nature Portfolio 2022-12-01
Series:npj Computational Materials
Online Access:https://doi.org/10.1038/s41524-022-00924-2