• Corpus ID: 31022153

A multigrid framework for variational approaches in medical image processing and computer vision

@inproceedings{Kstler2008AMF,
  title={A multigrid framework for variational approaches in medical image processing and computer vision},
  author={Harald K{\"o}stler},
  year={2008}
}
Variational approaches for modeling are very common in medical image processing and computer vision, e.g., for motion detection by optical flow, image registration, image segmentation, image denoising, or image inpainting. One drawback of variational approaches is that the optimization process typically involves the solution of one or more partial differential equations (PDEs). This is very time and memory consuming, since the amount of data that has to be processed in imaging increases more… 
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