Corpus ID: 220665427

Limited-angle tomographic reconstruction of dense layered objects by dynamical machine learning

@article{Kang2020LimitedangleTR,
  title={Limited-angle tomographic reconstruction of dense layered objects by dynamical machine learning},
  author={Iksung Kang and A. Goy and G. Barbastathis},
  journal={ArXiv},
  year={2020},
  volume={abs/2007.10734}
}
Limited-angle tomography of strongly scattering quasi-transparent objects is a challenging, highly ill-posed problem with practical implications in medical and biological imaging, manufacturing, automation, and environmental and food security. Regularizing priors are necessary to reduce artifacts by improving the condition of such problems. Recently, it was shown that one effective way to learn the priors for strongly scattering yet highly structured 3D objects, e.g. layered and Manhattan, is… Expand

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