ML Anthology

Image Enhancement Using Non-Linear Diffusion

Marc Proesmans, Eric J. Pauwels, Luc Van Gool, Theo Moons, André Oosterlinck
CVPR 1993 pp. 680-681
doi:10.1109/CVPR.1993.341030 /cvpr/1993/proesmans1993cvpr-image/

Abstract

The potential of coupled nonlinear diffusion processes to provide an efficient and implementable mechanism capable of edge preserving smoothing and noise suppression is investigated. The basic idea is that several maps undergo coupled development towards an equilibrium state. These maps could contain intensity, local edge strength, range, or another quantity. All these maps, including the edge map, contain continuous rather than all-or-nothing information, following a strategy of least commitment. Each of the approaches is developed and tested on a parallel transputer network.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Proesmans et al. "Image Enhancement Using Non-Linear Diffusion." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.341030

Markdown

[Proesmans et al. "Image Enhancement Using Non-Linear Diffusion." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/proesmans1993cvpr-image/) doi:10.1109/CVPR.1993.341030

BibTeX

@inproceedings{proesmans1993cvpr-image,
  title     = {{Image Enhancement Using Non-Linear Diffusion}},
  author    = {Proesmans, Marc and Pauwels, Eric J. and Van Gool, Luc and Moons, Theo and Oosterlinck, André},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1993},
  pages     = {680-681},
  doi       = {10.1109/CVPR.1993.341030},
  url       = {https://mlanthology.org/cvpr/1993/proesmans1993cvpr-image/}
}