Using Partial Differential Equations to Filter Images with High Noise Levels

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU123736" target="_blank" >RIV/00216305:26220/16:PU123736 - isvavai.cz</a>
Result on the web
<a href="http://www.utee.feec.vutbr.cz/iiphdw2016/" target="_blank" >http://www.utee.feec.vutbr.cz/iiphdw2016/</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Using Partial Differential Equations to Filter Images with High Noise Levels
Original language description
The paper discusses image noise suppression methods based on the solution of partial differential equations. The individual techniques are applied to a set of test images and then compared with respect to the obtained noise suppression levels. One of the presented procedures is image denoising via the heat conduction formula, which constitutes an equivalent of the Gaussian filter. Further, a bilateral filter is derived; this approach better preserves the edges of objects within the examined image. The last technique analyzed is anisotropic diffusion (Perona-Malik). Importantly, the signal-to-noise ratio values obtained with these different filtering methods are compared in the final section of the article.
Czech name
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Czech description
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
International Interdisciplinary PhD Workshop 2016 Proceedings
ISBN
9788021453876
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
82-86
Publisher name
VUT FEKT UTEE
Place of publication
Brno
Event location
Brno
Event date
Sep 12, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000391280700017

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