Adaptive total variation image deblurring: A majorization-minimization approach

  title={Adaptive total variation image deblurring: A majorization-minimization approach},
  author={Jo{\~a}o Pedro Oliveira and Josx00E9 M. Bioucas-Dias and M{\'a}rio A. T. Figueiredo},
  journal={Signal Processing},
This paper presents a new approach to total variation (TV) based image deconvolution/deblurring, which is adaptive in the sense that it doesn’t 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 probabilistic prior interpretation of the TV regularizer. The resulting optimization problem is then attacked using a majorization… CONTINUE READING
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Introduction to Inverse Problems in Imaging

  • M. Bertero, P. Boccacci
  • IOP Publishing,
  • 1998
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