Image Restoration Models with Optimal Transport and Total Variation Regularization
Fuente:
arXiv
Guardado en:
| Autores principales: | Huang, Weijia, Huang, Zhongyi, Yang, Wenli, Zhu, Wei |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Hadamard Langevin dynamics for sampling the l1-prior
por: Cheltsov, Ivan, et al.
Publicado: (2024)
por: Cheltsov, Ivan, et al.
Publicado: (2024)
Recovery of Integer Images from Minimal DFT Measurements: Uniqueness and Inversion Algorithms
por: Levinson, Howard W, et al.
Publicado: (2025)
por: Levinson, Howard W, et al.
Publicado: (2025)
Inexact FPPA for the $\ell_0$ Sparse Regularization Problem
por: Fang, Ronglong, et al.
Publicado: (2024)
por: Fang, Ronglong, et al.
Publicado: (2024)
ASPEN: An Additional Sampling Penalty Method for Finite-Sum Optimization Problems with Nonlinear Equality Constraints
por: Krejić, Nataša, et al.
Publicado: (2025)
por: Krejić, Nataša, et al.
Publicado: (2025)
Preconditioned subgradient method for composite optimization: overparameterization and fast convergence
por: Díaz, Mateo, et al.
Publicado: (2025)
por: Díaz, Mateo, et al.
Publicado: (2025)
To be or not to be stable, that is the question: understanding neural networks for inverse problems
por: Evangelista, Davide, et al.
Publicado: (2022)
por: Evangelista, Davide, et al.
Publicado: (2022)
Multispectral Image Restoration by Generalized Opponent Transformation Total Variation
por: Ma, Zhantao, et al.
Publicado: (2024)
por: Ma, Zhantao, et al.
Publicado: (2024)
SVD-Preconditioned Gradient Descent Method for Solving Nonlinear Least Squares Problems
por: Chang, Zhipeng, et al.
Publicado: (2026)
por: Chang, Zhipeng, et al.
Publicado: (2026)
Stochastic momentum ADMM for nonconvex and nonsmooth optimization with application to PnP algorithm
por: Deng, Kangkang, et al.
Publicado: (2025)
por: Deng, Kangkang, et al.
Publicado: (2025)
Optimization in Theory and Practice
por: Wright, Stephen J.
Publicado: (2025)
por: Wright, Stephen J.
Publicado: (2025)
An adaptive framework for first-order gradient methods
por: Hu, Xiaozhe, et al.
Publicado: (2026)
por: Hu, Xiaozhe, et al.
Publicado: (2026)
Spectral conjugate gradient projection methods for large-scale monotone equations without Lipschitz continuity
por: Hamiss, Kabenge, et al.
Publicado: (2026)
por: Hamiss, Kabenge, et al.
Publicado: (2026)
Extrapolated Plug-and-Play Three-Operator Splitting Methods for Nonconvex Optimization with Applications to Image Restoration
por: Wu, Zhongming, et al.
Publicado: (2024)
por: Wu, Zhongming, et al.
Publicado: (2024)
Adaptive Gradient Enhanced Gaussian Process Surrogates for Inverse Problems
por: Semler, Phillip, et al.
Publicado: (2024)
por: Semler, Phillip, et al.
Publicado: (2024)
Smooth digital terrain modelling in irregular domain using finite element thin plate splines and adaptive refinement
por: Fang, Lishan
Publicado: (2023)
por: Fang, Lishan
Publicado: (2023)
Joint Signal Recovery and Uncertainty Quantification via the Residual Prior Transform
por: Xiao, Yao, et al.
Publicado: (2025)
por: Xiao, Yao, et al.
Publicado: (2025)
Image Classification Using Singular Value Decomposition and Optimization
por: Yepes, Isabela M., et al.
Publicado: (2024)
por: Yepes, Isabela M., et al.
Publicado: (2024)
Inf-Sup neural networks for high-dimensional elliptic PDE problems
por: Huo, Xiaokai, et al.
Publicado: (2024)
por: Huo, Xiaokai, et al.
Publicado: (2024)
Computing the Proximal Operator of the $q$-th Power of the $\ell_{1,q}$-norm for Group Sparsity
por: Lin, Rongrong, et al.
Publicado: (2024)
por: Lin, Rongrong, et al.
Publicado: (2024)
The Bayesian SIAC filter
por: Glaubitz, Jan, et al.
Publicado: (2025)
por: Glaubitz, Jan, et al.
Publicado: (2025)
Structured Analytic Mappings for Point Set Registration
por: Feng, Wei, et al.
Publicado: (2026)
por: Feng, Wei, et al.
Publicado: (2026)
Sample-wise Constrained Learning via a Sequential Penalty Approach with Applications in Image Processing
por: Lanzillotta, Francesca, et al.
Publicado: (2026)
por: Lanzillotta, Francesca, et al.
Publicado: (2026)
A low-rank augmented Lagrangian method for large-scale semidefinite programming based on a hybrid convex-nonconvex approach
por: Monteiro, Renato D. C., et al.
Publicado: (2024)
por: Monteiro, Renato D. C., et al.
Publicado: (2024)
On the fast convergence of minibatch heavy ball momentum
por: Bollapragada, Raghu, et al.
Publicado: (2022)
por: Bollapragada, Raghu, et al.
Publicado: (2022)
Projected Newton method for large-scale Bayesian linear inverse problems
por: Li, Haibo
Publicado: (2024)
por: Li, Haibo
Publicado: (2024)
Toroidal area-preserving parameterizations of genus-one closed surfaces
por: Sutti, Marco, et al.
Publicado: (2025)
por: Sutti, Marco, et al.
Publicado: (2025)
On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent
por: Laumont, Rémi, et al.
Publicado: (2022)
por: Laumont, Rémi, et al.
Publicado: (2022)
Leveraging joint sparsity in hierarchical Bayesian learning
por: Glaubitz, Jan, et al.
Publicado: (2023)
por: Glaubitz, Jan, et al.
Publicado: (2023)
Total Normal Curvature Regularization and its Minimization for Surface and Image Smoothing
por: Lu, Tianle, et al.
Publicado: (2025)
por: Lu, Tianle, et al.
Publicado: (2025)
Rank-one Riemannian Subspace Descent for Nonlinear Matrix Equations
por: Darmwal, Yogesh, et al.
Publicado: (2026)
por: Darmwal, Yogesh, et al.
Publicado: (2026)
Projected gradient descent accumulates at Bouligand stationary points
por: Olikier, Guillaume, et al.
Publicado: (2024)
por: Olikier, Guillaume, et al.
Publicado: (2024)
Penalty Interior-Point Method Fails to Converge
por: Leyffer, Sven
Publicado: (2003)
por: Leyffer, Sven
Publicado: (2003)
Dropout Ensemble Kalman inversion for high dimensional inverse problems
por: Liu, Shuigen, et al.
Publicado: (2023)
por: Liu, Shuigen, et al.
Publicado: (2023)
Adaptive Preconditioned Gradient Descent with Energy
por: Liu, Hailiang, et al.
Publicado: (2023)
por: Liu, Hailiang, et al.
Publicado: (2023)
Truncated Huber Penalty for Sparse Signal Recovery with Convergence Analysis
por: Yang, Li, et al.
Publicado: (2025)
por: Yang, Li, et al.
Publicado: (2025)
A fixed-time stable dynamical model for solving EVLCPs
por: Wei, Yufei, et al.
Publicado: (2025)
por: Wei, Yufei, et al.
Publicado: (2025)
Generalized sparsity-promoting solvers for Bayesian inverse problems: Versatile sparsifying transforms and unknown noise variances
por: Lindbloom, Jonathan, et al.
Publicado: (2024)
por: Lindbloom, Jonathan, et al.
Publicado: (2024)
Efficient Admissible Set Projection in Optimization-based Invariant-Domain-Preserving Limiters for Ideal MHD
por: Liu, Chen, et al.
Publicado: (2026)
por: Liu, Chen, et al.
Publicado: (2026)
Efficient optimization-based invariant-domain-preserving limiters in solving gas dynamics equations
por: Liu, Chen, et al.
Publicado: (2025)
por: Liu, Chen, et al.
Publicado: (2025)
A Proximal-Gradient Method for Solving Regularized Optimization Problems with General Constraints
por: Curtis, Frank E., et al.
Publicado: (2025)
por: Curtis, Frank E., et al.
Publicado: (2025)
Ejemplares similares
-
Hadamard Langevin dynamics for sampling the l1-prior
por: Cheltsov, Ivan, et al.
Publicado: (2024) -
Recovery of Integer Images from Minimal DFT Measurements: Uniqueness and Inversion Algorithms
por: Levinson, Howard W, et al.
Publicado: (2025) -
Inexact FPPA for the $\ell_0$ Sparse Regularization Problem
por: Fang, Ronglong, et al.
Publicado: (2024) -
ASPEN: An Additional Sampling Penalty Method for Finite-Sum Optimization Problems with Nonlinear Equality Constraints
por: Krejić, Nataša, et al.
Publicado: (2025) -
Preconditioned subgradient method for composite optimization: overparameterization and fast convergence
por: Díaz, Mateo, et al.
Publicado: (2025)