Detail publikace

Using Partial Differential Equations to Filter Images with High Noise Levels

SLIŽ, J.

Originální název

Using Partial Differential Equations to Filter Images with High Noise Levels

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Noise filtering, Heat equation, Perona-Malik, Image processing

Autoři

SLIŽ, J.

Vydáno

12. 9. 2016

Nakladatel

VUT FEKT UTEE

Místo

Brno

ISBN

9788021453876

Kniha

International Interdisciplinary PhD Workshop 2016 Proceedings

Strany od

82

Strany do

86

Strany počet

5

URL

http://www.utee.feec.vutbr.cz/iiphdw2016/

BibTex

@inproceedings{BUT136331,
  author="Jiří {Sliž}",
  title="Using Partial Differential Equations to Filter Images with High Noise Levels",
  booktitle="International Interdisciplinary PhD Workshop 2016 Proceedings",
  year="2016",
  pages="82--86",
  publisher="VUT FEKT UTEE",
  address="Brno",
  isbn="9788021453876",
  url="http://www.utee.feec.vutbr.cz/iiphdw2016/"
}