Gradient-based and wavelet-based compressed sensing approaches for highly undersampled tomographic datasets

Title
Gradient-based and wavelet-based compressed sensing approaches for highly undersampled tomographic datasets
Authors
Keywords
Electron tomography, compressed sensing, total variation, wavelets, STEM-EELS/EDX tomography
Journal
ULTRAMICROSCOPY
Volume 225, Issue -, Pages 113289
Publisher
Elsevier BV
Online
2021-04-16
DOI
10.1016/j.ultramic.2021.113289

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