This work deals with image processing based upon non-linear diffusion PDEs (Partial Differential Equations). Some analytic formulation will be introduced to obtain the 3D diffusion tensor, replacing Jacobi´s numerical methods by expressions based on invariants of the symmetric matrix. Later, CED (Coherence Enhancing Filtering) anisotropic filtering properties will be observed and will be combined with isotropic diffusion, providing a type of filtering that allows combining noise removal and local structure preservation. Last, some applications 3D grey-level will be presented
The ideas of texture analysis by means of the structure tensor are combined with the scale-space con...
PDE-based, non-linear di#usion techniques are an e#ective way to denoise images. In a previous study...
A low level image processing, for examples, image denoising and finding a local structure in an imag...
summary:This paper presents and summarize our results concerning the nonlinear tensor diffusion whic...
This dissertation addresses the problem of adaptive image filtering. Although the topic has a long h...
Anisotropic Non-Linear Diffusion is a powerful image processing technique, which allows to simultane...
Coherence-enhancing diffusion filtering is a striking application of the structure tensor concept in...
We review recent methods based on diffusion PDE's (Partial Differential Equations) for the purpose o...
Many biomedical applications require the enhancement of coherent flow-like curvilinear structures in...
summary:This paper concerns with the finite volume scheme for nonlinear tensor diffusion in image pr...
In this paper we introduce and study a new feature-preserving nonlinear anisotropic diffusion for de...
In this article we introduce nonlinear versions of the popular structure tensor, also known as secon...
We review recent methods based on diffusion PDE's (Partial Differential Equations) for the purpose o...
For strongly directed anisotropic processes such as coherence-enhancing diffusion filtering it is cr...
Methods based on partial differential equations (PDEs) belong to those image processing techniques t...
The ideas of texture analysis by means of the structure tensor are combined with the scale-space con...
PDE-based, non-linear di#usion techniques are an e#ective way to denoise images. In a previous study...
A low level image processing, for examples, image denoising and finding a local structure in an imag...
summary:This paper presents and summarize our results concerning the nonlinear tensor diffusion whic...
This dissertation addresses the problem of adaptive image filtering. Although the topic has a long h...
Anisotropic Non-Linear Diffusion is a powerful image processing technique, which allows to simultane...
Coherence-enhancing diffusion filtering is a striking application of the structure tensor concept in...
We review recent methods based on diffusion PDE's (Partial Differential Equations) for the purpose o...
Many biomedical applications require the enhancement of coherent flow-like curvilinear structures in...
summary:This paper concerns with the finite volume scheme for nonlinear tensor diffusion in image pr...
In this paper we introduce and study a new feature-preserving nonlinear anisotropic diffusion for de...
In this article we introduce nonlinear versions of the popular structure tensor, also known as secon...
We review recent methods based on diffusion PDE's (Partial Differential Equations) for the purpose o...
For strongly directed anisotropic processes such as coherence-enhancing diffusion filtering it is cr...
Methods based on partial differential equations (PDEs) belong to those image processing techniques t...
The ideas of texture analysis by means of the structure tensor are combined with the scale-space con...
PDE-based, non-linear di#usion techniques are an e#ective way to denoise images. In a previous study...
A low level image processing, for examples, image denoising and finding a local structure in an imag...