A multi-frame super-resolution based on new variational data fidelity term
From MaRDI portal
Publication:2049823
DOI10.1016/j.apm.2020.06.013zbMath1481.94018OpenAlexW3034922235MaRDI QIDQ2049823
M. Hakim, Amine Laghrib, Abdelghani Ghazdali
Publication date: 27 August 2021
Published in: Applied Mathematical Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.apm.2020.06.013
Convex programming (90C25) Applications of mathematical programming (90C90) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Related Items (5)
A second-order nonlocal regularized variational model for multiframe image super-resolution ⋮ A denoising model based on the fractional Beltrami regularization and its numerical solution ⋮ On the well-posedness of a tensor-based second order PDE with bilateral term for image super-resolution ⋮ Robust time‐fractional diffusion filtering for noise removal ⋮ A theoretical study of a bilateral term with a tensor-based fourth-order PDE for image super-resolution
Cites Work
- Unnamed Item
- Nonlinear total variation based noise removal algorithms
- Fonctions à hessien borné
- Image super-resolution by TV-regularization and Bregman iteration
- A second-order model for image denoising
- Applied functional analysis. Functional analysis, Sobolev spaces and elliptic differential equations
- A super-resolution reconstruction algorithm for surveillance images
- Functionals defined on measures and applications to non equi-uniformly elliptic problems
- Optimal selection of the regularization function in a weighted total variation model. II: Algorithm, its analysis and numerical tests
- A first-order primal-dual algorithm for convex problems with applications to imaging
- A multi-frame super-resolution using diffusion registration and a nonlocal variational image restoration
- A new multiframe super-resolution based on nonlinear registration and a spatially weighted regularization
- A new nonlocal total variation regularization algorithm for image denoising
- A combined first and second order variational approach for image reconstruction
- A nonlinear fourth-order PDE for multi-frame image super-resolution enhancement
- Image filtering with the use of anisotropic diffusion
- An edge preserving high-order PDE for multiframe image super-resolution
- Variational Analysis in Sobolev and BV Spaces
- On the game p-Laplacian on weighted graphs with applications in image processing and data clustering
- High-Order Total Variation-Based Image Restoration
- A denoising model adapted for impulse and Gaussian noises using a constrained-PDE
- Unified Single-Image and Video Super-Resolution via Denoising Algorithms
- Generalizing the Nonlocal-Means to Super-Resolution Reconstruction
- Hessian-Based Norm Regularization for Image Restoration With Biomedical Applications
- Total Generalized Variation
- A study in the BV space of a denoising-deblurring variational problem
This page was built for publication: A multi-frame super-resolution based on new variational data fidelity term