Deblurring Using Analysis-Synthesis Networks Pair

@article{Kaufman2020DeblurringUA,
  title={Deblurring Using Analysis-Synthesis Networks Pair},
  author={Adam Kaufman and Raanan Fattal},
  journal={2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2020},
  pages={5810-5819}
}
  • Adam Kaufman, Raanan Fattal
  • Published 6 April 2020
  • Computer Science
  • 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Blind image deblurring remains a challenging problem for modern artificial neural networks. Unlike other image restoration problems, deblurring networks fail behind the performance of existing deblurring algorithms in case of uniform and 3D blur models. This follows from the diverse and profound effect that the unknown blur-kernel has on the deblurring operator. We propose a new architecture which breaks the deblurring network into an analysis network which estimates the blur, and a synthesis… 

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