Sciweavers

Share
SCALESPACE
2001
Springer

Selection of Optimal Stopping Time for Nonlinear Diffusion Filtering

11 years 11 months ago
Selection of Optimal Stopping Time for Nonlinear Diffusion Filtering
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 minimized. The new method is applicable to any images where the noise to be removed is uncorrelated with the signal, under the assumptions that the filter used is suitable for the given type of data, and that neither the additive noise nor the filtering procedure alter the average gray value; no other knowledge (e.g. the noise variance, training data etc.) is needed. We analyse the theoretical properties of the method, then 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.
Pavel Mrázek
Added 30 Jul 2010
Updated 30 Jul 2010
Type Conference
Year 2001
Where SCALESPACE
Authors Pavel Mrázek
Comments (0)
books