This work integrates nonlinear discrete dissipation models -- namely anisotropic diffusion filters -- into the field of the numerical approximation for conservation laws is accomplished. Second-order accurate methods, namely the Lax-Wendroff scheme, are stabilised using the anisotropic dissipation filters combined with the shock detector. A new class of numerical schemes with nonlinear anisotropic dissipation models are derived. These algorithms nearly reduce all oscillations while the sharp shock resolution of the high-order scheme is maintained. Furthermore, emanating from the positivity requirement an alternative scheme is developed which is founded on the wave propagation algorithms developed by LeVeque. The corresponding dissipation mo...
International audienceWe propose a new algorithm inspired by the properties of diffusion processes f...
Anisotropic Non-Linear Diffusion is a powerful image processing technique, which allows to simultane...
The thesis is about noise filtering from images and similar types of data using nonlinear diffusion....
Hyperbolische Erhaltungsgleichungen besitzen die Eigenschaft, dass ihre verallgemeinerten Lösungen s...
In this paper we present a novel numerical approximation scheme for anisotropic diffusion which is a...
Anisotropic diffusion is a key concept in digital image denoising and restoration. To improve the an...
AbstractA new shock filter model designed to sharpen numerically diffused discontinuities in a conse...
2012 16th International Conference on System Theory, Control and Computing, ICSTCC 2012 -- 12 Octobe...
Abstract. Anisotropic diffusion filters with a diffusion tensor are suc-cessfully used in many image...
Conservation laws and exact solutions of nonlinear differential equations describing diffusion pheno...
A new shock filter model designed to sharpen numerically diffused discontinuities in a conservative ...
International audienceThis paper is devoted to the numerical resolution of an anisotropic non-linear...
International audienceNonlinear anisotropic diffusion filters have been introduced in the field of i...
Based on the fact that the anisotropic diffusion method proposed by Weickert can preserve large edge...
AbstractWe study a class of numerical schemes for nonlinear diffusion filtering that offers insights...
International audienceWe propose a new algorithm inspired by the properties of diffusion processes f...
Anisotropic Non-Linear Diffusion is a powerful image processing technique, which allows to simultane...
The thesis is about noise filtering from images and similar types of data using nonlinear diffusion....
Hyperbolische Erhaltungsgleichungen besitzen die Eigenschaft, dass ihre verallgemeinerten Lösungen s...
In this paper we present a novel numerical approximation scheme for anisotropic diffusion which is a...
Anisotropic diffusion is a key concept in digital image denoising and restoration. To improve the an...
AbstractA new shock filter model designed to sharpen numerically diffused discontinuities in a conse...
2012 16th International Conference on System Theory, Control and Computing, ICSTCC 2012 -- 12 Octobe...
Abstract. Anisotropic diffusion filters with a diffusion tensor are suc-cessfully used in many image...
Conservation laws and exact solutions of nonlinear differential equations describing diffusion pheno...
A new shock filter model designed to sharpen numerically diffused discontinuities in a conservative ...
International audienceThis paper is devoted to the numerical resolution of an anisotropic non-linear...
International audienceNonlinear anisotropic diffusion filters have been introduced in the field of i...
Based on the fact that the anisotropic diffusion method proposed by Weickert can preserve large edge...
AbstractWe study a class of numerical schemes for nonlinear diffusion filtering that offers insights...
International audienceWe propose a new algorithm inspired by the properties of diffusion processes f...
Anisotropic Non-Linear Diffusion is a powerful image processing technique, which allows to simultane...
The thesis is about noise filtering from images and similar types of data using nonlinear diffusion....