Amine Laghrib
Orcid: 0000-0003-4851-3617
According to our database1,
Amine Laghrib
authored at least 37 papers
between 2015 and 2025.
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Bibliography
2025
Existence of solution for a coupled diffusion PDE system for various noise reduction.
J. Comput. Appl. Math., 2025
Improved image denoising via self-supervised Weickert operator learning and plug-and-play learned Primal Dual.
Neurocomputing, 2025
2024
Multim. Tools Appl., August, 2024
Mach. Vis. Appl., May, 2024
Bilevel learning approach for nonlocal p-Laplacien image deblurring with variable weights parameter w(x).
J. Vis. Commun. Image Represent., 2024
On some evolution equation with combined local and nonlocal p(x,[∇u])-Laplace operator for image denoising.
J. Frankl. Inst., 2024
Expert Syst. Appl., 2024
A bilevel learning approach for nonlocal image deblurring with variable weights parameter.
Digit. Signal Process., 2024
Comput. Math. Appl., 2024
2023
J. Nonlinear Sci., December, 2023
Circuits Syst. Signal Process., November, 2023
An Optimal Fluid Optical Flow Registration for Super-resolution with Lamé Parameters Learning.
J. Optim. Theory Appl., May, 2023
A denoising model based on the fractional Beltrami regularization and its numerical solution.
J. Appl. Math. Comput., April, 2023
An optimal bilevel optimization model for the generalized total variation and anisotropic tensor parameters selection.
Appl. Math. Comput., 2023
2022
A weighted parameter identification PDE-constrained optimization for inverse image denoising problem.
Vis. Comput., 2022
An improved PDE-constrained optimization fluid registration for image multi-frame super resolution.
RAIRO Oper. Res., 2022
An improved bilevel optimization approach for image super-resolution based on a fractional diffusion tensor.
J. Frankl. Inst., 2022
An innovative document image binarization approach driven by the non-local p-Laplacian.
EURASIP J. Adv. Signal Process., 2022
Sci. Ann. Comput. Sci., 2022
A theoretical study of a bilateral term with a tensor-based fourth-order PDE for image super-resolution.
Adv. Comput. Math., 2022
2021
Signal Process. Image Commun., 2021
A novel image denoising approach based on a non-convex constrained PDE: application to ultrasound images.
Signal Image Video Process., 2021
Pattern Recognit. Lett., 2021
Circuits Syst. Signal Process., 2021
2019
J. Frankl. Inst., 2019
A new multiframe super-resolution based on nonlinear registration and a spatially weighted regularization.
Inf. Sci., 2019
Appl. Math. Comput., 2019
2018
A nonconvex fractional order variational model for multi-frame image super-resolution.
Signal Process. Image Commun., 2018
Reduction of the non-uniform illumination using nonlocal variational models for document image analysis.
J. Frankl. Inst., 2018
IET Image Process., 2018
A multiframe super-resolution technique based on a nonlocal Bregman distance of bilateral total variation term.
Displays, 2018
Simultaneous deconvolution and denoising using a second order variational approach applied to image super resolution.
Comput. Vis. Image Underst., 2018
2017
Signal Process. Image Commun., 2017
Signal Process., 2017
2016
A multi-frame super-resolution using diffusion registration and a nonlocal variational image restoration.
Comput. Math. Appl., 2016
2015
A combined total variation and bilateral filter approach for image robust super resolution.
EURASIP J. Image Video Process., 2015