Variational Algorithms to Remove Stationary Noise: Applications to Microscopy Imaging

  title={Variational Algorithms to Remove Stationary Noise: Applications to Microscopy Imaging},
  author={J{\'e}r{\^o}me Fehrenbach and Pierre Weiss and Corinne Lorenzo},
  journal={IEEE Transactions on Image Processing},
A framework and an algorithm are presented in order to remove stationary noise from images. This algorithm is called variational stationary noise remover. It can be interpreted both as a restoration method in a Bayesian framework and as a cartoon+texture decomposition method. In numerous denoising applications, the white noise assumption fails. For example, structured patterns such as stripes appear in the images. The model described here addresses these cases. Applications are presented with… 

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