Face recognition systems due to their significant application in the security scopes, have
been of great importance in recent years. The existence of an exact balance between the …

A novel PDE‐based image denoising approach is proposed in this paper. One designs here
a nonlinear filter for image noise reduction based on the diffusion flow generated by the …

This paper presents a noise removal method based on a semi-adaptive threshold in
anisotropic diffusion filter to get better detail information protection and stronger noise …

We propose a novel human face recognition approach in this paper, based on two-
dimensional Gabor filtering and supervised classification. The feature extraction technique …

In the gradient dependent denoising methods based on partial differential equation, the
process of denoising is controlled through the gradient operation. Hence, the edges are …

In this paper, a hybrid image denoising algorithm based on directional diffusion is proposed.
Specifically, we developed a new noise-removal model by combining the modified isotropic …

The Beltrami framework is a successful technique for color image denosing by regarding
color images as manifolds embedded in a five dimensional spatial-chromatic space. It can …

For image denoising, the main challenge is how to preserve the information-bearing
structures such as edges and textures to get satisfactory visual quality when improving the …

The variational image decomposition model decomposes an image into a structural and an
oscillatory component by regularization technique and functional minimization. It is an …

In this work, we introduce a new method to prove the existence and uniqueness of a
variational solution to the stochastic nonlinear diffusion equation\rm d X (t)=\rm div\left ∇ X …