Sciweavers

Share
ICIAR
2007
Springer

Parameterless Discrete Regularization on Graphs for Color Image Filtering

9 years 4 months ago
Parameterless Discrete Regularization on Graphs for Color Image Filtering
A discrete regularization framework on graphs is proposed and studied for color image filtering purposes when images are represented by grid graphs. Image filtering is considered as a variational problem which consists in minimizing an appropriate energy function. In this paper, we propose a general discrete regularization framework defined on weighted graphs which can be seen as a discrete analogue of classical regularization theory. With this formulation, we propose a family of fast and simple anisotropic linear and nonlinear filters. The parameters of the proposed discrete regularization are estimated to have a parameterless filtering.
Olivier Lezoray, Sébastien Bougleux, Abderr
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where ICIAR
Authors Olivier Lezoray, Sébastien Bougleux, Abderrahim Elmoataz
Comments (0)
books