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Nonlinear DiffNet codes

Accompanying files to publication "Networks for Nonlinear Diffusion Problems in Imaging" by Simon Arridge and Andreas Hauptmann, 2019: https://doi.org/10.1007/s10851-019-00901-3

Codes currently include:

  • callDiffNet.py, sets up training with reduced training data
  • DiffNet_nonlin.py, stand-alone DiffNet code
  • dataCreation\runAnisoDiff2d_stl10.m, function to re-create the full set of diffused STL-10 images

Last edit: September 19, 2019

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