Bayesian deblurring with integrated noise estimation

@article{Schmidt2011BayesianDW,
  title={Bayesian deblurring with integrated noise estimation},
  author={Uwe Schmidt and Kevin Schelten and Stefan Roth},
  journal={CVPR 2011},
  year={2011},
  pages={2625-2632}
}
Conventional non-blind image deblurring algorithms involve natural image priors and maximum a-posteriori (MAP) estimation. As a consequence of MAP estimation, separate pre-processing steps such as noise estimation and training of the regularization parameter are necessary to avoid user interaction. Moreover, MAP estimates involving standard natural image priors have been found lacking in terms of restoration performance. To address these issues we introduce an integrated Bayesian framework that… CONTINUE READING
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