A regularization by denoising super-resolution method based on genetic algorithms
Increasing the resolution of an image is an actual and extensively studied problem in image
processing. Recently, Regularization by Denoising (RED) showing that any inverse problem …
processing. Recently, Regularization by Denoising (RED) showing that any inverse problem …
An improved bilevel optimization approach for image super-resolution based on a fractional diffusion tensor
Variational regularization techniques are widely used to improve the quality of the super-
resolved image. However, the success of these methods depends on some sensitive …
resolved image. However, the success of these methods depends on some sensitive …
Image denoising based on a variable spatially exponent PDE
Image denoising is always considered an important area of image processing. In this work,
we address a new PDE-based model for image denoising that have been contaminated by …
we address a new PDE-based model for image denoising that have been contaminated by …
Efficient image denoising technique using the meshless method: Investigation of operator splitting RBF collocation method for two anisotropic diffusion-based PDEs
Images taken and stored digitally are often degraded by noise, so that the perceived image
quality is significantly decreased in the presence of noise and human gaze behavior is …
quality is significantly decreased in the presence of noise and human gaze behavior is …
An efficient DN alternating algorithm for solving an inverse problem for Helmholtz equation.
Data completion known as Cauchy problem is one most investigated inverse problems. In
this work we consider a Cauchy problem associated with Helmholtz equation. Our …
this work we consider a Cauchy problem associated with Helmholtz equation. Our …
An efficient primal-dual method for solving non-smooth machine learning problem
This paper deals with the machine learning model as a framework of regularized loss
minimization problem in order to obtain a generalized model. Recently, some studies have …
minimization problem in order to obtain a generalized model. Recently, some studies have …
An inverse problem of identifying the coefficient in a nonlinear time-fractional diffusion equation
The paper deals with an inverse problem of identifying parameters in a nonlinear
subdiffusion model from a final observation. The nonlinear subdiffusion model involves a …
subdiffusion model from a final observation. The nonlinear subdiffusion model involves a …
Implementation of the ADMM approach to constrained optimal control problem with a nonlinear time-fractional diffusion equation
In this paper, we study the inverse problem of identifying the parameters in a nonlinear
subdiffusion model from an observation defined in the given Ω1 subset of Ω. The nonlinear …
subdiffusion model from an observation defined in the given Ω1 subset of Ω. The nonlinear …
On some evolution equation with combined local and nonlocal p (x,[∇ u])-Laplace operator for image denoising
A Laghrib - Journal of the Franklin Institute, 2024 - Elsevier
Image denoising is an important topic in image processing. This paper proposes a novel
approach to speckle noise removal using a combination of nonlocal and local variable p …
approach to speckle noise removal using a combination of nonlocal and local variable p …
Bilevel optimal parameter learning for a high-order nonlocal multiframe super-resolution problem
This work elaborated an improved method to multiframe super-resolution (SR), which
involves a nonlocal first-order regularization combined with a nonlocal p-Laplacian term …
involves a nonlocal first-order regularization combined with a nonlocal p-Laplacian term …