Smoothing Impulsive Noise Using Nonlinear Diffusion Filtering

Demirkaya, Omer

doi:10.1007/978-3-540-27816-0_10

Smoothing Impulsive Noise Using Nonlinear Diffusion Filtering

Omer Demirkaya

ECCV 2004 pp. 111-122

doi:10.1007/978-3-540-27816-0_10 /eccv/2004/demirkaya2004eccv-smoothing/

Abstract

A new anisotropic diffusion-filtering scheme to smooth images with heavy-tailed or binary noise types similar to salt&pepper noise is presented. The proposed scheme estimates edge gradient from an image that is smoothed or ”regularized” with a median filter. Its performance was demonstrated on synthetic images that were corrupted by Gaussian, salt&pepper and Weibull noises, and actual medical images. The visual and quantitative evaluation of the scheme demonstrated comparable or better performance.

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Text

Demirkaya. "Smoothing Impulsive Noise Using Nonlinear Diffusion Filtering." European Conference on Computer Vision, 2004. doi:10.1007/978-3-540-27816-0_10

Markdown

[Demirkaya. "Smoothing Impulsive Noise Using Nonlinear Diffusion Filtering." European Conference on Computer Vision, 2004.](https://mlanthology.org/eccv/2004/demirkaya2004eccv-smoothing/) doi:10.1007/978-3-540-27816-0_10

BibTeX

@inproceedings{demirkaya2004eccv-smoothing,
  title     = {{Smoothing Impulsive Noise Using Nonlinear Diffusion Filtering}},
  author    = {Demirkaya, Omer},
  booktitle = {European Conference on Computer Vision},
  year      = {2004},
  pages     = {111-122},
  doi       = {10.1007/978-3-540-27816-0_10},
  url       = {https://mlanthology.org/eccv/2004/demirkaya2004eccv-smoothing/}
}