ISBN: 978-145771303-3International audienceThe paper deals with a generalization of the complex diffusion in order to introduce pseudo-morphological complex filters which mimic dilation/erosion operators. The non-linearization paradigm is based on the counter-harmonic mean. The physical model underlying complex diffusion is the free Schrödinger equation and consequently the proposed operators can be interpreted as the asymptotic "pseudo-morphological" solution of this fundamental equation. Theoretical results are illustrated with some image filtering examples
We introduce Brownian motion into the nonlinear diffusion process for image denoising in this paper....
none2A nonlinear diffusion based image denoising technique is introducted.noneBarbu T.; Favini A.Bar...
We propose a nonlinear diffusion method based on the gradient vector field construction to remove no...
ISBN : 978-3-642-17687-6International audienceRelationships between linear and morphological scale-s...
Relationships between linear and morphological scale-spaces have been considered by various previous...
Signal de-noising and restoration is an essential step for many signal processing algorithms and app...
This seminal book is a primer on geometry-driven, nonlinear diffusion as a promising new paradigm fo...
Abstract. A framework that naturally unies smoothing and enhance-ment processes is presented. We gen...
A low level image processing, for examples, image denoising and finding a local structure in an imag...
International audienceRelationships between linear and morphological scale-spaces have been consider...
In this paper we present a rigorous proof for the stability of a class of finite difference schemes ...
Abstract. In this paper we present a rigorous proof for the stability of a class of finite differenc...
In spite of its lack of theoretical justification, nonlinear diffusion filtering has become a powerf...
The thesis is about noise filtering from images and similar types of data using nonlinear diffusion....
Slides disponibles sur http://www.i2m.univ-amu.fr/~jkeller/Papers/GSI13-slides.pdfInternational audi...
We introduce Brownian motion into the nonlinear diffusion process for image denoising in this paper....
none2A nonlinear diffusion based image denoising technique is introducted.noneBarbu T.; Favini A.Bar...
We propose a nonlinear diffusion method based on the gradient vector field construction to remove no...
ISBN : 978-3-642-17687-6International audienceRelationships between linear and morphological scale-s...
Relationships between linear and morphological scale-spaces have been considered by various previous...
Signal de-noising and restoration is an essential step for many signal processing algorithms and app...
This seminal book is a primer on geometry-driven, nonlinear diffusion as a promising new paradigm fo...
Abstract. A framework that naturally unies smoothing and enhance-ment processes is presented. We gen...
A low level image processing, for examples, image denoising and finding a local structure in an imag...
International audienceRelationships between linear and morphological scale-spaces have been consider...
In this paper we present a rigorous proof for the stability of a class of finite difference schemes ...
Abstract. In this paper we present a rigorous proof for the stability of a class of finite differenc...
In spite of its lack of theoretical justification, nonlinear diffusion filtering has become a powerf...
The thesis is about noise filtering from images and similar types of data using nonlinear diffusion....
Slides disponibles sur http://www.i2m.univ-amu.fr/~jkeller/Papers/GSI13-slides.pdfInternational audi...
We introduce Brownian motion into the nonlinear diffusion process for image denoising in this paper....
none2A nonlinear diffusion based image denoising technique is introducted.noneBarbu T.; Favini A.Bar...
We propose a nonlinear diffusion method based on the gradient vector field construction to remove no...