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ISVC
2005
Springer

Image Smoothing and Segmentation by Graph Regularization

9 years 3 months ago
Image Smoothing and Segmentation by Graph Regularization
We propose a discrete regularization framework on weighted graphs of arbitrary topology, which leads to a family of nonlinear filters, such as the bilateral filter or the TV digital filter. This framework, which minimizes a loss function plus a regularization term, is parameterized by a weight function defined as a similarity measure. It is applicable to several problems in image processing, data analysis and classification. We apply this framework to the image smoothing and segmentation problems.
Sébastien Bougleux, Abderrahim Elmoataz
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where ISVC
Authors Sébastien Bougleux, Abderrahim Elmoataz
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