Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates

@article{Vlasenko2010PhysicallyCA,
  title={Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates},
  author={Andrey Vlasenko and Christoph Schn{\"o}rr},
  journal={IEEE Transactions on Image Processing},
  year={2010},
  volume={19},
  pages={586-595}
}
Imaging plays an important role in experimental fluid dynamics. It is equally important both for scientific research and a range of industrial applications. It is known, however, that estimated velocity fields of fluids often suffer from various types of corruptions like missing data, for instance, that make their physical interpretation questionable. We present an algorithm that accepts a wide variety of corrupted 2-D vector fields as input data and allows to recover missing data fragments and… CONTINUE READING

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