Stable Backward Diffusion Models that Minimise Convex Energies

@article{Bergerhoff2020StableBD,
  title={Stable Backward Diffusion Models that Minimise Convex Energies},
  author={Leif Bergerhoff and Marcelo C{\'a}rdenas and J. Weickert and M. Welk},
  journal={Journal of Mathematical Imaging and Vision},
  year={2020},
  volume={62},
  pages={941 - 960}
}
The inverse problem of backward diffusion is known to be ill-posed and highly unstable. Backward diffusion processes appear naturally in image enhancement and deblurring applications. It is therefore greatly desirable to establish a backward diffusion model which implements a smart stabilisation approach that can be used in combination with an easy-to-handle numerical scheme. So far, existing stabilisation strategies in the literature require sophisticated numerics to solve the underlying… Expand
Networks for Nonlinear Diffusion Problems in Imaging

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