SIAM Journal on Imaging Sciences

Papers
(The median citation count of SIAM Journal on Imaging Sciences is 1. 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 2021-02-01 to 2025-02-01.)
ArticleCitations
Short Communication: Weak Sparse Superresolution is Well-Conditioned42
Subaperture-Based Digital Aberration Correction for Optical Coherence Tomography: A Novel Mathematical Approach20
Diffeomorphic Registration Using Sinkhorn Divergences14
Provably Convergent Plug-and-Play Quasi-Newton Methods14
Weighted Spectral Filters for Kernel Interpolation on Spheres: Estimates of Prediction Accuracy for Noisy Data13
A Novel Mesh Denoising Method Based on Relaxed Second-Order Total Generalized Variation12
The \(\boldsymbol{{p}_0}\)-Laplace “Signature” for Quasilinear Inverse Problems11
Matrix Balancing Based Interior Point Methods for Point Set Matching Problems11
A Scale-Invariant Relaxation in Low-Rank Tensor Recovery with an Application to Tensor Completion11
Identification of Sparsely Representable Diffusion Parameters in Elliptic Problems10
Bilevel Imaging Learning Problems as Mathematical Programs with Complementarity Constraints: Reformulation and Theory9
An Inexact Majorized Proximal Alternating Direction Method of Multipliers for Diffusion Tensors9
A Variational Model for Nonuniform Low-Light Image Enhancement9
Inclusion and Estimates for the Jumps of Minimizers in Variational Denoising9
Removing the Mask—Reconstructing a Real-Valued Field on the Sphere from a Masked Field by Spherical Fourier Analysis8
A Splitting Scheme for Flip-Free Distortion Energies7
A Spatial Color Compensation Model Using Saturation-Value Total Variation7
Single Pixel X-ray Transform and Related Inverse Problems7
Background Removal for Ptychography via Wigner Distribution Deconvolution7
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruptions7
Gaussian Patch Mixture Model Guided Low-Rank Covariance Matrix Minimization for Image Denoising6
Singular Value Decomposition of the Wave Forward Operator with Radial Variable Coefficients6
Learnable Empirical Mode Decomposition based on Mathematical Morphology6
A New Variational Model for Shape Graph Registration with Partial Matching Constraints6
On the Convergence of Stochastic Gradient Descent for Linear Inverse Problems in Banach Spaces6
\(\boldsymbol{L_1-\beta L_q}\) Minimization for Signal and Image Recovery6
Extrapolated Plug-and-Play Three-Operator Splitting Methods for Nonconvex Optimization with Applications to Image Restoration6
Nonlocal Perimeters and Curvature Flows on Graphs with Applications in Image Processing and High-Dimensional Data Classification6
Turning Grain Maps into Diagrams5
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution5
A Class of Priors for Color Image Restoration Parameterized by Lie Groups Acting on Pixel Values5
Early Stopping of Untrained Convolutional Neural Networks5
Learning Sparsity-Promoting Regularizers Using Bilevel Optimization5
Using Decoupled Features for Photorealistic Style Transfer5
A Low-Rank Tensor Completion Method via Strassen–Ottaviani Flattening5
Robust Tensor Completion from Uniformly Dithered One-Bit Observations5
Stability and Reconstruction of a Special Type of Anisotropic Conductivity in Magneto-Acoustic Tomography with Magnetic Induction5
Direct Imaging of Moving Acoustic Point Sources5
Convergence Analysis of the Harmonic \(\boldsymbol{B_{{z}}}\) Algorithm with Single Injection Current in MREIT4
An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee4
Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization4
Image Warp Preserving Content Intensity4
Off-the-Grid Curve Reconstruction through Divergence Regularization: An Extreme Point Result4
Bayesian Imaging Using Plug & Play Priors: When Langevin Meets Tweedie4
A Unified Framework of Nonlocal Parametric Methods for Image Denoising4
Total Variation-Based Reconstruction and Phase Retrieval for Diffraction Tomography4
Waveform Inversion with a Data Driven Estimate of the Internal Wave4
Bar Code Decoding in a Camera-Based Scanner: Analysis and Algorithm4
An Inverse Problems Approach to Pulse Wave Analysis in the Human Brain4
Convergence Analysis of the Nonlinear Kaczmarz Method for Systems of Nonlinear Equations with Componentwise Convex Mappings and Applications to Image Reconstruction in Multispectral CT4
A Common Lines Approach for Ab Initio Modeling of Molecules with Tetrahedral and Octahedral Symmetry4
Elastica Models for Color Image Regularization3
Image Recovery for Blind Polychromatic Ptychography3
An Accelerated Level-Set Method for Inverse Scattering Problems3
IML FISTA: A Multilevel Framework for Inexact and Inertial Forward-Backward. Application to Image Restoration3
A Fast Data-Driven Iteratively Regularized Method with Convex Penalty for Solving Ill-Posed Problems3
Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields3
Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds3
PhaseNet: A Deep Learning Based Phase Reconstruction Method for Ground-Based Astronomy3
The Linearized Hellinger--Kantorovich Distance3
On Assignment Problems Related to Gromov–Wasserstein Distances on the Real Line3
A Boundary Integral Equation Method for the Complete Electrode Model in Electrical Impedance Tomography with Tests on Experimental Data3
The Linear Sampling Method for Random Sources3
A Wasserstein-Type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis3
A Majorization-Minimization Algorithm for Neuroimage Registration2
Inversion of Band-Limited Discrete Fourier Transforms of Binary Images: Uniqueness and Algorithms2
Practical Acceleration of the Condat–Vũ Algorithm2
Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss2
Polynomial Preconditioners for Regularized Linear Inverse Problems2
A Data-Assisted Two-Stage Method for the Inverse Random Source Problem2
Deep Learning--Based Dictionary Learning and Tomographic Image Reconstruction2
Robust Tensor Completion: Equivalent Surrogates, Error Bounds, and Algorithms2
Spherical Image Inpainting with Frame Transformation and Data-Driven Prior Deep Networks2
Image Segmentation Using Bayesian Inference for Convex Variant Mumford–Shah Variational Model2
Asymptotic Links between Signal Processing, Acoustic Metamaterials, and Biology2
A Nonlocal Graph-PDE and Higher-Order Geometric Integration for Image Labeling2
Recovery of Piecewise Smooth Density and Lamé Parameters from High Frequency Exterior Cauchy Data2
Numerical Reconstruction of Radiative Sources from Partial Boundary Measurements2
Compactification of the Rigid Motions Group in Image Processing2
Riesz Feature Representation: Scale Equivariant Scattering Network for Classification Tasks2
Low-Rank Tensor Approximations for Solving Multimarginal Optimal Transport Problems2
High-Resolution, Quantitative Signal Subspace Imaging for Synthetic Aperture Radar2
Reduced Order Modeling Inversion of Monostatic Data in a Multi-scattering Environment2
Steerable Near-Quadrature Filter Pairs in Three Dimensions2
WARPd: A Linearly Convergent First-Order Primal-Dual Algorithm for Inverse Problems with Approximate Sharpness Conditions2
Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image1
Convergence Results in Image Interpolation With the Continuous SSIM1
A Spectral Estimation Framework for Phase Retrieval via Bregman Divergence Minimization1
Restoration Guarantee of Image Inpainting via Low Rank Patch Matrix Completion1
The Cortical V1 Transform as a Heterogeneous Poisson Problem1
A Projected Nesterov–Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology1
A Fast Averaged Kaczmarz Iteration with Convex Penalty for Inverse Problems in Hilbert Spaces1
Imaging of Atmospheric Dispersion Processes with Differential Absorption Lidar1
Optimality Conditions for Bilevel Imaging Learning Problems with Total Variation Regularization1
ROM Inversion of Monostatic Data Lifted to Full MIMO1
Averaging Orientations with Molecular Symmetry in Cryo-EM1
Spherical Density-Equalizing Map for Genus-0 Closed Surfaces1
Adaptive and Implicit Regularization for Matrix Completion1
Compressive Imaging Through Optical Fiber with Partial Speckle Scanning1
Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms1
Stability for Finite Element Discretization of Some Inverse Parameter Problems from Internal Data: Application to Elastography1
Imaging Anisotropic Conductivities from Current Densities1
The Linear Sampling Method for Data Generated by Small Random Scatterers1
Exploring Structural Sparsity of Coil Images from 3-Dimensional Directional Tight Framelets for SENSE Reconstruction1
A Deep Learning Framework for Diffeomorphic Mapping Problems via Quasi-conformal Geometry Applied to Imaging1
A General Non-Lipschitz Infimal Convolution Regularized Model: Lower Bound Theory and Algorithm1
PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent1
Dynamic Image Reconstruction with Motion Priors in Application to Three Dimensional Magnetic Particle Imaging1
Provable Phase Retrieval with Mirror Descent1
Two-Stage Decolorization Based on Histogram Equalization and Local Variance Maximization1
Fractional Fourier Transforms Meet Riesz Potentials and Image Processing1
Linear Convergence of Randomized Kaczmarz Method for Solving Complex-Valued Phaseless Equations1
Separable Quaternion Matrix Factorization for Polarization Images1
IFF: A Superresolution Algorithm for Multiple Measurements1
Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling1
Posterior-Variance–Based Error Quantification for Inverse Problems in Imaging1
Transionospheric Autofocus for Synthetic Aperture Radar1
A Quantum Information-Based Refoundation of Color Perception Concepts1
Spherical Framelets from Spherical Designs1
Efficient Bayesian Computation for Low-Photon Imaging Problems1
Sliding at First-Order: Higher-Order Momentum Distributions for Discontinuous Image Registration1
Numerical Implementation of Generalized V-Line Transforms on 2D Vector Fields and their Inversions1
Distributed Stochastic Inertial-Accelerated Methods with Delayed Derivatives for Nonconvex Problems1
On Learning the Invisible in Photoacoustic Tomography with Flat Directionally Sensitive Detector1
TILT: Topological Interface Recovery in Limited-Angle Tomography1
An Algorithm to Compute Any Simple $k$-gon of a Maximum Area or Perimeter Inscribed in a Region of Interest1
Compressive Learning for Patch-Based Image Denoising1
The Split Gibbs Sampler Revisited: Improvements to Its Algorithmic Structure and Augmented Target Distribution1
Training Adaptive Reconstruction Networks for Blind Inverse Problems1
Image Denoising: The Deep Learning Revolution and Beyond—A Survey Paper1
Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration1
Tensor Robust Principal Component Analysis via Tensor Fibered Rank and \({\boldsymbol{{l_p}}}\) Minimization1
Utilizing Variational Autoencoders in the Bayesian Inverse Problem of Photoacoustic Tomography1
Conductivity Imaging from Internal Measurements with Mixed Least-Squares Deep Neural Networks1
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