Amine Laghrib - RankMe

51 papers Journal 51

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A non-variational p ( x , t ) -Laplacian coupled PDE: Applications to COVID-19 CT imaging. Biomed. Signal Process. Control. Hssaine Oummi, Abdelmajid El Hakoume, Amine Laghrib, Mourad Nachaoui
2026	J	`jnl`	Enhanced Image Super-Resolution via a Coupled Fractional Caputo Derivative and Adaptive p(x)-Laplacian Model. J. Math. Imaging Vis. Ziad Zaabouli, Khalid Jenkal, Lekbir Afraites, Amine Laghrib
2026	J	`jnl`	Enhanced shadow removal using space-variant anisotropic PDEs and tensor-based osmosis models. J. Frankl. Inst. Fakhr-eddine Limami, Aissam Hadri, Amine Laghrib, Lekbir Afraites
2026	J	`jnl`	Identification of Gaussian and poisson noise through non-convex optimization with a non-local PDE constraint of r[u]-laplace type. Numer. Algorithms Ziad Zaabouli, Lekbir Afraites, Amine Laghrib, Aissam Hadri
2026	J	`jnl`	Improved image denoising via DeepONet-based Weickert operator learning. Digit. Signal Process. Amine Laghrib
2025	J	`jnl`	A New Fractional-Order Regularization for Speckle Image Denoising: Preserving Edges and Features. Circuits Syst. Signal Process. Amine Laghrib, Abdeljalil Nachaoui
2025	J	`jnl`	A novel time-fractional decomposition model for image denoising integrating Caputo derivative. Math. Comput. Simul. Ziad Zaabouli, Lekbir Afraites, Amine Laghrib
2025	J	`jnl`	A unified framework for solving ill-posed problems using regularized conjugate gradient, Broyden-Fletcher-Goldfarb-Shanno (BFGS), and limited-memory BFGS. Comput. Appl. Math. Mohamed Ziouane, Mourad Nachaoui, Amine Laghrib
2025	J	`jnl`	An Accelerated Stochastic Primal-Dual Fixed Point Approach for Image Deblurring. Oper. Res. Forum Yasmine El Mobariki, Amine Laghrib
2025	J	`jnl`	Deep neural network approximation for identification of parameter in a incompressible lubricated mechanism model. Comput. Appl. Math. Y. Essadaoui, Aissam Hadri, Amine Laghrib, Imad Hafidi
2025	J	`jnl`	Enhanced image deblurring using regularization by denoising technique and L1/L2 ratio. Signal Process. Image Commun. Abdelmajid El Hakoume, Aissam Hadri, Abdelmoutalib Metrane, Amine Laghrib
2025	J	`jnl`	Enhancing image quality through fractional PDEs: A novel approach to image osmosis. Comput. Math. Appl. Fakhr-eddine Limami, Amine Laghrib, Lekbir Afraites, Mourad Nachaoui
2025	J	`jnl`	Existence of solution for a coupled diffusion PDE system for various noise reduction. J. Comput. Appl. Math. A. Mohssine, Lekbir Afraites, Aissam Hadri, Amine Laghrib
2025	J	`jnl`	Improved image denoising via self-supervised Weickert operator learning and plug-and-play learned Primal Dual. Neurocomputing Imane El Malki, Abdelmajid El Hakoume, Amine Laghrib, Aissam Hadri
2025	J	`jnl`	On the resolution of the non-smooth inverse Cauchy problem by the primal-dual method. Numer. Algorithms Aissam Hadri, Amine Laghrib, Abdeljalil Nachaoui, Mourad Nachaoui
2024	J	`jnl`	A bilevel learning approach for nonlocal image deblurring with variable weights parameter. Digit. Signal Process. Imane El Malki, François Jauberteau, Amine Laghrib, Mourad Nachaoui
2024	J	`jnl`	A novel coupled Int. J. Comput. Math. Ziad Zaabouli, Abdelmajid El Hakoume, Lekbir Afraites, Amine Laghrib
2024	J	`jnl`	A variational PDNet network using a learning reaction-diffusion equation. Expert Syst. Appl. Abdelmajid El Hakoume, Amine Laghrib, Lekbir Afraites, Aissam Hadri
2024	J	`jnl`	Bilevel learning approach for nonlocal p-Laplacien image deblurring with variable weights parameter w(x). J. Vis. Commun. Image Represent. Imane El Malki, François Jauberteau, Amine Laghrib, Mourad Nachaoui
2024	J	`jnl`	Enhanced osmosis model with bilateral total variation for effective shadow removal. Comput. Math. Appl. Amine Laghrib, Fakhr-eddine Limami, Abdeljalil Nachaoui
2024	J	`jnl`	On some evolution equation with combined local and nonlocal p(x,[∇u])-Laplace operator for image denoising. J. Frankl. Inst. Amine Laghrib
2024	J	`jnl`	Poisson noise and Gaussian noise separation through copula theory. Multim. Tools Appl. Abdelghani Ghazdali, Aissam Hadri, Amine Laghrib, Mourad Nachaoui
2024	J	`jnl`	Tensor-guided learning for image denoising using anisotropic PDEs. Mach. Vis. Appl. Fakhr-eddine Limami, Aissam Hadri, Lekbir Afraites, Amine Laghrib
2023	J	`jnl`	A Blind Poisson-Gaussian Noise Separation Using Learning Copula Densities. Circuits Syst. Signal Process. Abdelghani Ghazdali, Aissam Hadri, Amine Laghrib, Mourad Nachaoui
2023	J	`jnl`	A denoising model based on the fractional Beltrami regularization and its numerical solution. J. Appl. Math. Comput. Anouar Ben-Loghfyry, Abdelilah Hakim, Amine Laghrib
2023	J	`jnl`	An Improved SimpleC Scheme for fluid Registration. Math. Model. Anal. Mohamed Alahyane, Abdelilah Hakim, Amine Laghrib, Said Raghay
2023	J	`jnl`	An Optimal Fluid Optical Flow Registration for Super-resolution with Lamé Parameters Learning. J. Optim. Theory Appl. Abdelmajid El Hakoume, Amine Laghrib, Aissam Hadri, Lekbir Afraites
2023	J	`jnl`	An optimal bilevel optimization model for the generalized total variation and anisotropic tensor parameters selection. Appl. Math. Comput. Idriss Boutaayamou, Aissam Hadri, Amine Laghrib
2023	J	`jnl`	On a Mathematical Analysis of a Coupled System Adapted to MRI Image Denoising. J. Nonlinear Sci. Abdelmajid El Hakoume, Ziad Zaabouli, Lekbir Afraites, Amine Laghrib
2022	J	`jnl`	A theoretical study of a bilateral term with a tensor-based fourth-order PDE for image super-resolution. Adv. Comput. Math. Idriss El Mourabit, Amine Laghrib, Aissam Hadri, Abdelilah Hakim
2022	J	`jnl`	A weighted parameter identification PDE-constrained optimization for inverse image denoising problem. Vis. Comput. Lekbir Afraites, Aissam Hadri, Amine Laghrib, Mourad Nachaoui
2022	J	`jnl`	An Enhanced Fluid Registration for Image Multi-Frame Super Resolution. Sci. Ann. Comput. Sci. Amine Laghrib, Aissam Hadri, Moad Hakim
2022	J	`jnl`	An improved PDE-constrained optimization fluid registration for image multi-frame super resolution. RAIRO Oper. Res. Amine Laghrib, Aissam Hadri, Moad Hakim, Hssaine Oummi
2022	J	`jnl`	An improved bilevel optimization approach for image super-resolution based on a fractional diffusion tensor. J. Frankl. Inst. Mourad Nachaoui, Amine Laghrib
2022	J	`jnl`	An innovative document image binarization approach driven by the non-local p-Laplacian. EURASIP J. Adv. Signal Process. Fatim Zahra Ait Bella, Mohammed El Rhabi, Abdelilah Hakim, Amine Laghrib
2021	J	`jnl`	A Regularization by Denoising super-resolution method based on genetic algorithms. Signal Process. Image Commun. Mourad Nachaoui, Lekbir Afraites, Amine Laghrib
2021	J	`jnl`	A novel image denoising approach based on a non-convex constrained PDE: application to ultrasound images. Signal Image Video Process. Aissam Hadri, Lekbir Afraites, Amine Laghrib, Mourad Nachaoui
2021	J	`jnl`	An optimal variable exponent model for Magnetic Resonance Images denoising. Pattern Recognit. Lett. Aissam Hadri, Amine Laghrib, Hssaine Oummi
2021	J	`jnl`	Blind Separation of Instantaneous Mixtures of Independent/Dependent Sources. Circuits Syst. Signal Process. Amal Ourdou, Abdelghani Ghazdali, Amine Laghrib, Abdelmoutalib Metrane
2019	J	`jnl`	A lattice Boltzmann method applied to the fluid image registration. Appl. Math. Comput. Mohamed Alahyane, Abdelilah Hakim, Amine Laghrib, Said Raghay
2019	J	`jnl`	A new multiframe super-resolution based on nonlinear registration and a spatially weighted regularization. Inf. Sci. Amine Laghrib, Aissam Hadri, Abdelilah Hakim, Said Raghay
2019	J	`jnl`	An edge preserving high-order PDE for multiframe image super-resolution. J. Frankl. Inst. Amine Laghrib, Aissam Hadri, Abdelilah Hakim
2018	J	`jnl`	A multiframe super-resolution technique based on a nonlocal Bregman distance of bilateral total variation term. Displays Amine Laghrib, Fatimzehrae Aitbella, Abdelilah Hakim
2018	J	`jnl`	A nonconvex fractional order variational model for multi-frame image super-resolution. Signal Process. Image Commun. Amine Laghrib, Anouar Ben-Loghfyry, Aissam Hadri, Abdelilah Hakim
2018	J	`jnl`	Multiframe super-resolution based on a high-order spatially weighted regularisation. IET Image Process. Amine Laghrib, Mohamed Alahyane, Abdelghani Ghazdali, Abdelilah Hakim, Said Raghay
2018	J	`jnl`	Reduction of the non-uniform illumination using nonlocal variational models for document image analysis. J. Frankl. Inst. Fatim Zahra Ait Bella, Mohammed El Rhabi, Abdelilah Hakim, Amine Laghrib
2018	J	`jnl`	Simultaneous deconvolution and denoising using a second order variational approach applied to image super resolution. Comput. Vis. Image Underst. Amine Laghrib, Mahmoud Ezzaki, Mohammed El Rhabi, Abdelilah Hakim, Pascal Monasse, Said Raghay
2017	J	`jnl`	A new denoising model for multi-frame super-resolution image reconstruction. Signal Process. Idriss El Mourabit, Mohammed El Rhabi, Abdelilah Hakim, Amine Laghrib, Eric Moreau
2017	J	`jnl`	An iterative image super-resolution approach based on Bregman distance. Signal Process. Image Commun. Amine Laghrib, Abdelilah Hakim, Said Raghay
2016	J	`jnl`	A multi-frame super-resolution using diffusion registration and a nonlocal variational image restoration. Comput. Math. Appl. Amine Laghrib, Abdelghani Ghazdali, Abdelilah Hakim, Said Raghay
2015	J	`jnl`	A combined total variation and bilateral filter approach for image robust super resolution. EURASIP J. Image Video Process. Amine Laghrib, Abdelilah Hakim, Said Raghay