Automatic parameter selection for the TGV regularizer in image restoration under Poisson noise

  title={Automatic parameter selection for the TGV regularizer in image restoration under Poisson noise},
  author={Daniela di Serafino and Monica Pragliola},
We address the image restoration problem under Poisson noise corruption. The Kullback-Leibler divergence, which is typically adopted in the variational framework as data fidelity term in this case, is coupled with the second-order Total Generalized Variation (TGV 2 ). The TGV 2 regularizer is known to be capable of preserving both smooth and piece-wise constant features in the image, however its behavior is subject to a suitable setting of the parameters arising in its expression. We propose a… 

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