Adaptive total variation image deblurring: A majorization-minimization approach

@article{Oliveira2009AdaptiveTV,
  title={Adaptive total variation image deblurring: A majorization-minimization approach},
  author={J. Oliveira and J. Bioucas-Dias and M{\'a}rio A. T. Figueiredo},
  journal={Signal Process.},
  year={2009},
  volume={89},
  pages={1683-1693}
}
  • J. Oliveira, J. Bioucas-Dias, Mário A. T. Figueiredo
  • Published 2009
  • Mathematics, Computer Science
  • Signal Process.
  • This paper presents a new approach to image deconvolution (deblurring), under total variation (TV) regularization, which is adaptive in the sense that it does not require the user to specify the value of the regularization parameter. We follow the Bayesian approach of integrating out this parameter, which is achieved by using an approximation of the partition function of the Bayesian prior interpretation of the TV regularizer. The resulting optimization problem is then attacked using a… CONTINUE READING
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