You can manage bookmarks using lists, please log in to your user account for this.
Media type:
Electronic Resource
Title:
Properties of higher order nonlinear diffusion filtering
Contributor:
Didas, Stephan
[Author];
Weickert, Joachim
[Author];
Burgeth, Bernhard
[Author]
Published:
Scientific publications of the Saarland University (UdS), 2008
Language:
English
DOI:
https://doi.org/10.22028/D291-26498
Origination:
Footnote:
Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
Description:
This paper provides a mathematical analysis of higher order variational methods and nonlinear diffusion filtering for image denoising. Besides the average grey value, it is shown that higher order diffusion filters preserve higher moments of the initial data. While a maximum-minimum principle in general does not hold for higher order filters, we derive stability in the 2-norm in the continuous and discrete setting. Considering the filters in terms of forward and backward diffusion, one can explain how not only the preservation, but also the enhancement of certain features in the given data is possible. Numerical results show the improved denoising capabilities of higher order filtering compared to the classical methods.