Color image restoration by filtering methods: a review
Digital images are corrupted with noise, and image denoising is an important step in image
processing modules. In this review, the latest developments in filtering methods for color …
processing modules. In this review, the latest developments in filtering methods for color …
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 …
Advanced fuzzy denoising technique for agricultural remote sensing: modified partition filter for suppressing impulsive
E Alhatami, UA Bhatti, H MengXing, S Feng - IEEE Access, 2024 - ieeexplore.ieee.org
Image denoising is a critical challenge in digital image processing, particularly when dealing
with random-value impulse noise (RVIN). Existing methods for RVIN detection and removal …
with random-value impulse noise (RVIN). Existing methods for RVIN detection and removal …
On the numerical approximation of some inverse problems governed by nonlinear delay differential equation
The paper deals with the approximate solving of an inverse problem for the nonlinear delay
differential equation, which consists of finding the initial moment and delay parameter based …
differential equation, which consists of finding the initial moment and delay parameter based …
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 …
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 …
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 …
A new learning space-variant anisotropic constrained-PDE for image denoising
In this paper, we propose an improved enhancement space-variant anisotropic PDE-
constrained for image denoising, based on a learning optimization procedure. Since the …
constrained for image denoising, based on a learning optimization procedure. Since the …
Fractional optimal control for deep convolutional neural networks exploring ODE-based solutions for image denoising
In recent years, Deep Convolutional Neural Networks (DCNNs) have been shown to be
effective in low-level vision tasks such as image denoising. DCNN backpropagation is …
effective in low-level vision tasks such as image denoising. DCNN backpropagation is …
Learning nonlocal weights for second-order nonlocal super-resolution
This research introduces an enhanced approach for multiframe super-resolution (SR) that
incorporates a bilevel optimization technique for learning the space variable weights …
incorporates a bilevel optimization technique for learning the space variable weights …