Hybrid regularization for data restoration in the presence of Poisson noise

  title={Hybrid regularization for data restoration in the presence of Poisson noise},
  author={Nelly Pustelnik and Caroline Chaux and Jean-Christophe Pesquet},
  journal={2009 17th European Signal Processing Conference},
During the last five years, several convex optimization algorithms have been proposed for solving inverse problems. Most of the time, they allow us to minimize a criterion composed of two terms one of which permits to “stabilize” the solution. Different choices are possible for the so-called regularization term, which plays a prominent role for solving ill-posed problems. While a total variation regularization introduces staircase effects, a wavelet regularization may bring other kinds of… CONTINUE READING


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