Understanding and evaluating blind deconvolution algorithms

  title={Understanding and evaluating blind deconvolution algorithms},
  author={Anat Levin and Yair Weiss and Fr{\'e}do Durand and William T. Freeman},
  journal={2009 IEEE Conference on Computer Vision and Pattern Recognition},
Blind deconvolution is the recovery of a sharp version of a blurred image when the blur kernel is unknown. Recent algorithms have afforded dramatic progress, yet many aspects of the problem remain challenging and hard to understand. The goal of this paper is to analyze and evaluate recent blind deconvolution algorithms both theoretically and experimentally. We explain the previously reported failure of the naive MAP approach by demonstrating that it mostly favors no-blur explanations. On the… CONTINUE READING
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