Noise removal using smoothed normals and surface fitting

@article{Lysaker2004NoiseRU,
  title={Noise removal using smoothed normals and surface fitting},
  author={Ola Marius Lysaker and Stanley Osher and Xue-Cheng Tai},
  journal={IEEE Transactions on Image Processing},
  year={2004},
  volume={13},
  pages={1345-1357}
}
In this work, we use partial differential equation techniques to remove noise from digital images. The removal is done in two steps. We first use a total-variation filter to smooth the normal vectors of the level curves of a noise image. After this, we try to find a surface to fit the smoothed normal vectors. For each of these two stages, the problem is reduced to a nonlinear partial differential equation. Finite difference schemes are used to solve these equations. A broad range of numerical… CONTINUE READING

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