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 2021-04-01 to 2025-04-01.)
ArticleCitations
Short Communication: Weak Sparse Superresolution is Well-Conditioned53
Subaperture-Based Digital Aberration Correction for Optical Coherence Tomography: A Novel Mathematical Approach39
Diffeomorphic Registration Using Sinkhorn Divergences14
Increasing Stability for Recovering Anisotropic Potential in Elastic Scattering from a Linearized Dirichlet to Neumann Map14
A Novel Mesh Denoising Method Based on Relaxed Second-Order Total Generalized Variation13
Matrix Balancing Based Interior Point Methods for Point Set Matching Problems12
Bilevel Imaging Learning Problems as Mathematical Programs with Complementarity Constraints: Reformulation and Theory11
Identification of Sparsely Representable Diffusion Parameters in Elliptic Problems11
The \(\boldsymbol{{p}_0}\)-Laplace “Signature” for Quasilinear Inverse Problems11
A Spatial Color Compensation Model Using Saturation-Value Total Variation10
Background Removal for Ptychography via Wigner Distribution Deconvolution10
Inclusion and Estimates for the Jumps of Minimizers in Variational Denoising10
Nonlocal Perimeters and Curvature Flows on Graphs with Applications in Image Processing and High-Dimensional Data Classification9
Single Pixel X-ray Transform and Related Inverse Problems9
Singular Value Decomposition of the Wave Forward Operator with Radial Variable Coefficients9
Learnable Empirical Mode Decomposition based on Mathematical Morphology9
On the Convergence of Stochastic Gradient Descent for Linear Inverse Problems in Banach Spaces9
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruptions9
Robust Tensor Completion from Uniformly Dithered One-Bit Observations8
Euler’s Elastica-Based Cartoon-Smooth-Texture Image Decomposition8
Adaptive Forward-Backward Splitting for Multilayer Convolutional Dictionary Learning7
A Splitting Scheme for Flip-Free Distortion Energies7
Extrapolated Plug-and-Play Three-Operator Splitting Methods for Nonconvex Optimization with Applications to Image Restoration7
A Scale-Invariant Relaxation in Low-Rank Tensor Recovery with an Application to Tensor Completion7
A New Variational Model for Shape Graph Registration with Partial Matching Constraints7
Removing the Mask—Reconstructing a Real-Valued Field on the Sphere from a Masked Field by Spherical Fourier Analysis6
Turning Grain Maps into Diagrams6
Direct Imaging of Moving Acoustic Point Sources6
A Class of Priors for Color Image Restoration Parameterized by Lie Groups Acting on Pixel Values6
Gaussian Patch Mixture Model Guided Low-Rank Covariance Matrix Minimization for Image Denoising6
An Inexact Majorized Proximal Alternating Direction Method of Multipliers for Diffusion Tensors6
Early Stopping of Untrained Convolutional Neural Networks6
Weighted Spectral Filters for Kernel Interpolation on Spheres: Estimates of Prediction Accuracy for Noisy Data6
\(\boldsymbol{L_1-\beta L_q}\) Minimization for Signal and Image Recovery6
A Low-Rank Tensor Completion Method via Strassen–Ottaviani Flattening6
A Variational Model for Nonuniform Low-Light Image Enhancement6
Provably Convergent Plug-and-Play Quasi-Newton Methods5
Learning Sparsity-Promoting Regularizers Using Bilevel Optimization5
A Wasserstein-Type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis5
Off-the-Grid Curve Reconstruction through Divergence Regularization: An Extreme Point Result5
Using Decoupled Features for Photorealistic Style Transfer5
Generalized Fourier Diffraction Theorem and Filtered Backpropagation for Tomographic Reconstruction5
IML FISTA: A Multilevel Framework for Inexact and Inertial Forward-Backward. Application to Image Restoration5
A Common Lines Approach for Ab Initio Modeling of Molecules with Tetrahedral and Octahedral Symmetry5
Practical Acceleration of the Condat–Vũ Algorithm5
Stability and Reconstruction of a Special Type of Anisotropic Conductivity in Magneto-Acoustic Tomography with Magnetic Induction5
Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds5
Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss4
Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields4
An Accelerated Level-Set Method for Inverse Scattering Problems4
On Assignment Problems Related to Gromov–Wasserstein Distances on the Real Line4
The Linearized Hellinger--Kantorovich Distance4
Image Warp Preserving Content Intensity4
Elastica Models for Color Image Regularization4
Convergence Analysis of the Harmonic \(\boldsymbol{B_{{z}}}\) Algorithm with Single Injection Current in MREIT4
Image Recovery for Blind Polychromatic Ptychography4
Bar Code Decoding in a Camera-Based Scanner: Analysis and Algorithm4
PhaseNet: A Deep Learning Based Phase Reconstruction Method for Ground-Based Astronomy4
Image Segmentation Using Bayesian Inference for Convex Variant Mumford–Shah Variational Model4
An Inverse Problems Approach to Pulse Wave Analysis in the Human Brain3
The Linear Sampling Method for Random Sources3
Polynomial Preconditioners for Regularized Linear Inverse Problems3
Total Variation-Based Reconstruction and Phase Retrieval for Diffraction Tomography3
A Unified Framework of Nonlocal Parametric Methods for Image Denoising3
Waveform Inversion with a Data Driven Estimate of the Internal Wave3
An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee3
Low-Rank Tensor Approximations for Solving Multimarginal Optimal Transport Problems3
Asymptotic Links between Signal Processing, Acoustic Metamaterials, and Biology3
Convergence Analysis of the Nonlinear Kaczmarz Method for Systems of Nonlinear Equations with Componentwise Convex Mappings and Applications to Image Reconstruction in Multispectral CT3
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution3
Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization3
High-Resolution, Quantitative Signal Subspace Imaging for Synthetic Aperture Radar2
Imaging Anisotropic Conductivities from Current Densities2
Riesz Feature Representation: Scale Equivariant Scattering Network for Classification Tasks2
WARPd: A Linearly Convergent First-Order Primal-Dual Algorithm for Inverse Problems with Approximate Sharpness Conditions2
On the Convergence of a Data-Driven Regularized Stochastic Gradient Descent for Nonlinear Ill-Posed Problems2
A Nonlocal Graph-PDE and Higher-Order Geometric Integration for Image Labeling2
Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image2
Steerable Near-Quadrature Filter Pairs in Three Dimensions2
Compressive Imaging Through Optical Fiber with Partial Speckle Scanning2
Spherical Image Inpainting with Frame Transformation and Data-Driven Prior Deep Networks2
A Data-Assisted Two-Stage Method for the Inverse Random Source Problem2
A Contrast-Saturation Adaptive Model for Low-Light Image Enhancement2
Bayesian Imaging Using Plug & Play Priors: When Langevin Meets Tweedie2
A Quantum Information-Based Refoundation of Color Perception Concepts2
Deep Learning--Based Dictionary Learning and Tomographic Image Reconstruction2
Posterior-Variance–Based Error Quantification for Inverse Problems in Imaging2
Recovery of Piecewise Smooth Density and Lamé Parameters from High Frequency Exterior Cauchy Data2
A Fast Data-Driven Iteratively Regularized Method with Convex Penalty for Solving Ill-Posed Problems2
A Boundary Integral Equation Method for the Complete Electrode Model in Electrical Impedance Tomography with Tests on Experimental Data2
Conductivity Imaging from Internal Measurements with Mixed Least-Squares Deep Neural Networks2
Two-Stage Decolorization Based on Histogram Equalization and Local Variance Maximization2
Compactification of the Rigid Motions Group in Image Processing1
Tensor Robust Principal Component Analysis via Tensor Fibered Rank and \({\boldsymbol{{l_p}}}\) Minimization1
A Projected Nesterov–Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology1
Numerical Implementation of Generalized V-Line Transforms on 2D Vector Fields and their Inversions1
Averaging Orientations with Molecular Symmetry in Cryo-EM1
On Learning the Invisible in Photoacoustic Tomography with Flat Directionally Sensitive Detector1
A Spectral Estimation Framework for Phase Retrieval via Bregman Divergence Minimization1
IFF: A Superresolution Algorithm for Multiple Measurements1
Short Communication: FISTA Iterates Converge Linearly for Denoiser-Driven Regularization1
Utilizing Variational Autoencoders in the Bayesian Inverse Problem of Photoacoustic Tomography1
The Cortical V1 Transform as a Heterogeneous Poisson Problem1
Restoration Guarantee of Image Inpainting via Low Rank Patch Matrix Completion1
Multiview Point Cloud Registration with Anisotropic and Spatially Varying Localization Noise1
Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration1
Spherical Framelets from Spherical Designs1
Inversion of Band-Limited Discrete Fourier Transforms of Binary Images: Uniqueness and Algorithms1
Reduced Order Modeling Inversion of Monostatic Data in a Multi-scattering Environment1
Compressive Learning for Patch-Based Image Denoising1
Patch-Based Image Restoration Using Expectation Propagation1
Imaging with Thermal Noise Induced Currents1
Marginal Likelihood Estimation in Semiblind Image Deconvolution: A Stochastic Approximation Approach1
TILT: Topological Interface Recovery in Limited-Angle Tomography1
Convergence Results in Image Interpolation With the Continuous SSIM1
ROM Inversion of Monostatic Data Lifted to Full MIMO1
Provable Phase Retrieval with Mirror Descent1
Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms1
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-Based Approach Integrating Maximum Mean Discrepancy and Optimal Transport1
Robust Tensor Completion: Equivalent Surrogates, Error Bounds, and Algorithms1
Generalized Nonconvex Hyperspectral Anomaly Detection via Background Representation Learning with Dictionary Constraint1
A Fast Averaged Kaczmarz Iteration with Convex Penalty for Inverse Problems in Hilbert Spaces1
Stability for Finite Element Discretization of Some Inverse Parameter Problems from Internal Data: Application to Elastography1
Numerical Reconstruction of Radiative Sources from Partial Boundary Measurements1
A Majorization-Minimization Algorithm for Neuroimage Registration1
Exploring Structural Sparsity of Coil Images from 3-Dimensional Directional Tight Framelets for SENSE Reconstruction1
Training Adaptive Reconstruction Networks for Blind Inverse Problems1
The Modulo Radon Transform: Theory, Algorithms, and Applications1
A Deep Learning Framework for Diffeomorphic Mapping Problems via Quasi-conformal Geometry Applied to Imaging1
Imaging of Atmospheric Dispersion Processes with Differential Absorption Lidar1
Distributed Stochastic Inertial-Accelerated Methods with Delayed Derivatives for Nonconvex Problems1
Parallel Transport Convolution: Deformable Convolutional Networks on Manifold-Structured Data1
An Algorithm to Compute Any Simple $k$-gon of a Maximum Area or Perimeter Inscribed in a Region of Interest1
Dynamic Image Reconstruction with Motion Priors in Application to Three Dimensional Magnetic Particle Imaging1
Bilateral Tensor Low-Rank Representation for Insufficient Observed Samples in Multidimensional Image Clustering and Recovery1
Spherical Density-Equalizing Map for Genus-0 Closed Surfaces1
Linear Convergence of Randomized Kaczmarz Method for Solving Complex-Valued Phaseless Equations1
Transionospheric Autofocus for Synthetic Aperture Radar1
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