Image Denoising by Statistical Area Thresholding

  title={Image Denoising by Statistical Area Thresholding},
  author={David Coupier and Agn{\`e}s Desolneux and Bernard Ycart},
  journal={Journal of Mathematical Imaging and Vision},
Area openings and closings are morphological filters which efficiently suppress impulse noise from an image, by removing small connected components of level sets. The problem of an objective choice of threshold for the area remains open. Here, a mathematical model for random images will be considered. Under this model, a Poisson approximation for the probability of appearance of any local pattern can be computed. In particular, the probability of observing a component with size larger than k in… CONTINUE READING

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