Article
Licensed
Unlicensed
Requires Authentication
A dual algorithm for denoising and preserving edges in image processing
-
P. Destuynder
Published/Copyright:
May 25, 2007
We suggest a variational model which allows to both denoise and preserve edges on images. Using duality turns the problem into a simpler one, that is analyzed and numerically solved by appropriate methods. Some numerical results for image restoration and edges reconstruction are eventually presented.
Key Words: Image processing,; denoising,; edge preservation,; duality,; numerical approximation,; contours extraction.
Published Online: 2007-05-25
Published in Print: 2007-05-23
Copyright 2007, Walter de Gruyter
You are currently not able to access this content.
You are currently not able to access this content.
Articles in the same Issue
- Parameter estimation versus homogenization techniques in time-domain characterization of composite dielectrics
- Optimal regularization for ill-posed problems in metric spaces
- A dual algorithm for denoising and preserving edges in image processing
- A globally convergent convexification algorithm for multidimensional coefficient inverse problems
- Numerical solution of inverse heat conduction problems in two spatial dimensions
- Imaging low sensitivity regions in petroleum reservoirs using topological perturbations and level sets
Keywords for this article
Image processing,;
denoising,;
edge preservation,;
duality,;
numerical approximation,;
contours extraction.
Articles in the same Issue
- Parameter estimation versus homogenization techniques in time-domain characterization of composite dielectrics
- Optimal regularization for ill-posed problems in metric spaces
- A dual algorithm for denoising and preserving edges in image processing
- A globally convergent convexification algorithm for multidimensional coefficient inverse problems
- Numerical solution of inverse heat conduction problems in two spatial dimensions
- Imaging low sensitivity regions in petroleum reservoirs using topological perturbations and level sets
