scientific article; zbMATH DE number 7625169
From MaRDI portal
Publication:5054608
Angelica I. Aviles-Rivero, Jingwei Liang, Hua Huang, Carola-Bibiane Schönlieb, Ying Fu, Kaixuan Wei
Publication date: 29 November 2022
Full work available at URL: https://arxiv.org/abs/2012.05703
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Related Items (1)
Uses Software
Cites Work
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- Nonlinear total variation based noise removal algorithms
- The Little Engine that Could: Regularization by Denoising (RED)
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- Decoupled algorithm for MRI reconstruction using nonlocal block matching model: BM3D-MRI
- The projected GSURE for automatic parameter tuning in iterative shrinkage methods
- A cross validated Bayesian retrieval algorithm for nonlinear remote sensing experiments
- Estimation of the mean of a multivariate normal distribution
- On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone operators
- A dual algorithm for the solution of nonlinear variational problems via finite element approximation
- Alternating direction method with self-adaptive penalty parameters for monotone variational inequalities
- A first-order primal-dual algorithm for convex problems with applications to imaging
- Weighted nuclear norm minimization and its applications to low level vision
- Phase retrieval from coded diffraction patterns
- The Mathematics of Computerized Tomography
- Fundamentals of Computerized Tomography
- Fixed Points of Generalized Approximate Message Passing With Arbitrary Matrices
- From Denoising to Compressed Sensing
- Phase Retrieval via Wirtinger Flow: Theory and Algorithms
- A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
- Adapting to Unknown Smoothness via Wavelet Shrinkage
- A theory for multiresolution signal decomposition: the wavelet representation
- Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
- Splitting Algorithms for the Sum of Two Nonlinear Operators
- Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
- Ten Lectures on Wavelets
- Analysis of Discrete Ill-Posed Problems by Means of the L-Curve
- The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems
- Generalized SURE for Exponential Families: Applications to Regularization
- Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing
- Tensor-Based Formulation and Nuclear Norm Regularization for Multienergy Computed Tomography
- Postprocessing of Compressed Images via Sequential Denoising
- A Convergent Image Fusion Algorithm Using Scene-Adapted Gaussian-Mixture-Based Denoising
- Image Restoration by Iterative Denoising and Backward Projections
- Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
- Deep Convolutional Neural Network for Inverse Problems in Imaging
- DOLPHIn—Dictionary Learning for Phase Retrieval
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
- Non-convergence of the L-curve regularization parameter selection method
- A Regularization Parameter in Discrete Ill-Posed Problems
- On the Convergence of Approximate Message Passing With Arbitrary Matrices
- Vector Approximate Message Passing
- Plug-and-Play Unplugged: Optimization-Free Reconstruction Using Consensus Equilibrium
- Denoising AMP for MRI Reconstruction: BM3D-AMP-MRI
- Modern regularization methods for inverse problems
- Solving inverse problems using data-driven models
- Unified Single-Image and Video Super-Resolution via Denoising Algorithms
- The Dynamics of Message Passing on Dense Graphs, with Applications to Compressed Sensing
- Bits From Photons: Oversampled Image Acquisition Using Binary Poisson Statistics
- BM3D Frames and Variational Image Deblurring
- Regularization Parameter Selection for Nonlinear Iterative Image Restoration and MRI Reconstruction Using GCV and SURE-Based Methods
- An Iterative Regularization Method for Total Variation-Based Image Restoration
- A Review of Image Denoising Algorithms, with a New One
- An introduction to continuous optimization for imaging
- Regularization by Denoising via Fixed-Point Projection (RED-PRO)
- Convex analysis and monotone operator theory in Hilbert spaces
- Consistent parameter estimation for Lasso and approximate message passing
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: