SIAM Journal on Imaging Sciences

Papers
(The TQCC of SIAM Journal on Imaging Sciences is 4. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)
ArticleCitations
Regularization by Denoising via Fixed-Point Projection (RED-PRO)38
Surface-Localized Transmission Eigenstates, Super-resolution Imaging, and Pseudo Surface Plasmon Modes37
Learning Maximally Monotone Operators for Image Recovery35
Limited-Angle CT Reconstruction via the $L_1/L_2$ Minimization32
Bayesian Imaging Using Plug & Play Priors: When Langevin Meets Tweedie30
On Learned Operator Correction in Inverse Problems23
Group Sparse Optimization for Images Recovery Using Capped Folded Concave Functions23
A Characteristic Function-Based Algorithm for Geodesic Active Contours19
Robust CUR Decomposition: Theory and Imaging Applications18
Learning Consistent Discretizations of the Total Variation13
Bayesian Imaging with Data-Driven Priors Encoded by Neural Networks13
Image Denoising: The Deep Learning Revolution and Beyond—A Survey Paper13
New Restricted Isometry Property Analysis for $\ell_1-\ell_2$ Minimization Methods12
Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography12
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior12
Strong Solutions for PDE-Based Tomography by Unsupervised Learning11
The Modulo Radon Transform: Theory, Algorithms, and Applications11
Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent10
Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image10
A Generalized Primal-Dual Algorithm with Improved Convergence Condition for Saddle Point Problems9
Regularized Kaczmarz Algorithms for Tensor Recovery9
A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization9
A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford--Shah Color and Multiphase Image Segmentation8
The Linearized Hellinger--Kantorovich Distance8
Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction8
Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss8
A Class of Second-Order Geometric Quasilinear Hyperbolic PDEs and Their Application in Imaging7
Robust Tensor Completion: Equivalent Surrogates, Error Bounds, and Algorithms7
Learnable Empirical Mode Decomposition based on Mathematical Morphology7
A Color Elastica Model for Vector-Valued Image Regularization7
Toward Single Particle Reconstruction without Particle Picking: Breaking the Detection Limit7
Total Variation-Based Reconstruction and Phase Retrieval for Diffraction Tomography7
A Variational Approach to Additive Image Decomposition into Structure, Harmonic, and Oscillatory Components7
DIP-VBTV: A Color Image Restoration Model Combining a Deep Image Prior and a Vector Bundle Total Variation7
Color Image Restoration by Saturation-Value Total Variation Regularization on Vector Bundles7
Efficient Boosted DC Algorithm for Nonconvex Image Restoration with Rician Noise6
A Variational Inequality Model for the Construction of Signals from Inconsistent Nonlinear Equations6
Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework6
Shared Prior Learning of Energy-Based Models for Image Reconstruction6
Determinantal Point Processes for Image Processing6
A Unifying Framework for $n$-Dimensional Quasi-Conformal Mappings6
Stable Image Reconstruction Using Transformed Total Variation Minimization6
Compressive Imaging Through Optical Fiber with Partial Speckle Scanning6
Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown View Tomography5
Fast Imaging of Sources and Scatterers in a Stratified Ocean Waveguide5
A Penalty Relaxation Method for Image Processing Using Euler's Elastica Model5
Improved Recovery Guarantees and Sampling Strategies for TV Minimization in Compressive Imaging5
Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks5
Simultaneous Reconstruction of Conductivity, Boundary Shape, and Contact Impedances in Electrical Impedance Tomography5
A Direct Sampling Method for the Inversion of the Radon Transform5
Compactification of the Rigid Motions Group in Image Processing5
Compressive Learning for Patch-Based Image Denoising4
Centering Noisy Images with Application to Cryo-EM4
Parallelizable Global Quasi-Conformal Parameterization of Multiply Connected Surfaces via Partial Welding4
Complex-Valued Imaging with Total Variation Regularization: An Application to Full-Waveform Inversion in Visco-acoustic Media4
A Splitting Scheme for Flip-Free Distortion Energies4
Multiscale Approach for Three-Dimensional Conformal Image Registration4
Patch-Based Image Restoration Using Expectation Propagation4
Low-Rank Tensor Approximations for Solving Multimarginal Optimal Transport Problems4
A New Variational Model for Shape Graph Registration with Partial Matching Constraints4
Multiscale Factorization of the Wave Equation with Application to Compressed Sensing Photoacoustic Tomography4
0.026851892471313