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

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https://hal.inria.fr/hal-03366105
Contributor : Philippe Ciuciu Connect in order to contact the contributor
Submitted on : Tuesday, October 5, 2021 - 3:07:45 PM
Last modification on : Tuesday, October 25, 2022 - 5:52:24 PM

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Martin Jacob, Loubna El Gueddari, Jyh-Miin Lin, Gabriele Navarro, Audrey Jannaud, et al.. Gradient-based and wavelet-based compressed sensing approaches for highly undersampled tomographic datasets. Ultramicroscopy, 2021, 225, pp.113289. ⟨10.1016/j.ultramic.2021.113289⟩. ⟨hal-03366105⟩

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