Selection of Optimal Stopping Time for Nonlinear Difusion Filtering

  • Pavel Mrázek⋆
Conference paper
Part of the Lecture Notes in Computer Science 2106 book series (LNCS, volume 2106)


We develop a novel time-selection strategy for iterative image restoration techniques: the stopping time is chosen so that the correlation of signal and noise in the filtered image is minimised. The new method is applicable to any images where the noise to be removed is uncorrelated with the signal; no other knowledge (e.g. the noise variance, training data etc.) is needed. We test the performance of our time estimation procedure experimentally, and demonstrate that it yields near-optimal results for a wide range of noise levels and for various filtering methods.


Input Image Noise Variance Noisy Image Ideal Signal Coherence Direction 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Pavel Mrázek⋆
    • 1
  1. 1.Center for Machine PerceptionCzech Technical UniversityCzech Republic

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