Please use this identifier to cite or link to this item:
doi:10.22028/D291-26498
Title: | Properties of higher order nonlinear diffusion filtering |
Author(s): | Didas, Stephan Weickert, Joachim Burgeth, Bernhard |
Language: | English |
Year of Publication: | 2008 |
DDC notations: | 510 Mathematics |
Publikation type: | Other |
Abstract: | 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. |
Link to this record: | urn:nbn:de:bsz:291-scidok-47456 hdl:20.500.11880/26554 http://dx.doi.org/10.22028/D291-26498 |
Series name: | Preprint / Fachrichtung Mathematik, Universität des Saarlandes |
Series volume: | 215 |
Date of registration: | 5-Jun-2013 |
Faculty: | MI - Fakultät für Mathematik und Informatik |
Department: | MI - Mathematik |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Files for this record:
File | Description | Size | Format | |
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preprint_215_08.pdf | 2,35 MB | Adobe PDF | View/Open |
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