Interleaved Regression Tree Field Cascades for Blind Image Deconvolution

@article{Schelten2015InterleavedRT,
  title={Interleaved Regression Tree Field Cascades for Blind Image Deconvolution},
  author={Kevin Schelten and Sebastian Nowozin and Jeremy Jancsary and Carsten Rother and Stefan Roth},
  journal={2015 IEEE Winter Conference on Applications of Computer Vision},
  year={2015},
  pages={494-501}
}
Image blur from camera shake is a common cause for poor image quality in digital photography, prompting a significant recent interest in image deblurring. The vast majority of work on blind deblurring splits the problem into two subsequent steps: First, the blur process (i.e., blur kernel) is estimated, then the image is restored given the estimated kernel using a non-blind deblurring algorithm. Recent work in non-blind deblurring has shown that discriminative approaches can have clear image… CONTINUE READING