SIAM Journal on Imaging Sciences

Article	Citations
Tangential Fixpoint Iterations for Gromov–Wasserstein Barycenters	57
Euler’s Elastica-Based Cartoon-Smooth-Texture Image Decomposition	49
Subaperture-Based Digital Aberration Correction for Optical Coherence Tomography: A Novel Mathematical Approach	20
A Class of Priors for Color Image Restoration Parameterized by Lie Groups Acting on Pixel Values	19
Diffeomorphic Registration Using Sinkhorn Divergences	17
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruptions	17
Learnable Empirical Mode Decomposition based on Mathematical Morphology	16
A Scale-Invariant Relaxation in Low-Rank Tensor Recovery with an Application to Tensor Completion	16
The Linearized Hellinger--Kantorovich Distance	14
Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds	14
An Inverse Problems Approach to Pulse Wave Analysis in the Human Brain	14
Waveform Inversion with a Data Driven Estimate of the Internal Wave	13
Imaging Anisotropic Conductivities from Current Densities	12
Riesz Feature Representation: Scale Equivariant Scattering Network for Classification Tasks	12
Error Estimates for Weakly Convex Frame-Based Regularization Including Learned Filters	12
Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image	11
Reduced Order Modeling Inversion of Monostatic Data in a Multi-scattering Environment	11
High-Resolution, Quantitative Signal Subspace Imaging for Synthetic Aperture Radar	10
Semi-Unbalanced Optimal Transport for Reference-Based Image Restoration and Synthesis	10
ROM Inversion of Monostatic Data Lifted to Full MIMO	10
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-Based Approach Integrating Maximum Mean Discrepancy and Optimal Transport	9
IFF: A Superresolution Algorithm for Multiple Measurements	9
Convergence Results in Image Interpolation With the Continuous SSIM	8
Imaging a Moving Point Source from Multifrequency Data Measured at One and Sparse Observation Points (Part II): Near-Field Case in 3D	8
On Learning the Invisible in Photoacoustic Tomography with Flat Directionally Sensitive Detector	8

Randomized Orthogonal Matching Pursuit Algorithm with Adaptive Partial Selection for Sparse Signal Recovery	8
Schwarzschild Harmonic Path Planning and Tetrahedral Mesh Smoothing	8
Parallel Transport Convolution: Deformable Convolutional Networks on Manifold-Structured Data	8
Image Segmentation with Adaptive Spatial Priors from Joint Registration	7
Stable Image Reconstruction Using Transformed Total Variation Minimization	7
Sequential Model Correction for Nonlinear Inverse Problems	7
Parallelizable Global Quasi-Conformal Parameterization of Multiply Connected Surfaces via Partial Welding	7
Analysis of View Aliasing for the Generalized Radon Transform in \({\mathbb R}^{\textbf{2}}\)	7
Displacement and Pressure Reconstruction from Magnetic Resonance Elastography Images: Application to an In Silico Brain Model	7
An Image Registration Model in Electron Backscatter Diffraction	7
Smoothing Priors for Blind Image Deblurring	7
A Spatial Color Compensation Model Using Saturation-Value Total Variation	6
Convergence Analysis of the Harmonic \(\boldsymbol{B_{{z}}}\) Algorithm with Single Injection Current in MREIT	6
The \(\boldsymbol{{p}_0}\)-Laplace “Signature” for Quasilinear Inverse Problems	6
Nonlocal Perimeters and Curvature Flows on Graphs with Applications in Image Processing and High-Dimensional Data Classification	6
Direct Imaging of Moving Acoustic Point Sources	6
Localization of Point Scatterers via Sparse Optimization on Measures	6
Polynomial Preconditioners for Regularized Linear Inverse Problems	6
Early Stopping of Untrained Convolutional Neural Networks	6
Increasing Stability for Recovering Anisotropic Potential in Elastic Scattering from a Linearized Dirichlet to Neumann Map	6
Turning Grain Maps into Diagrams	6
On the Convergence of Stochastic Gradient Descent for Linear Inverse Problems in Banach Spaces	6
Elastica Models for Color Image Regularization	6
Convergence Analysis of the Nonlinear Kaczmarz Method for Systems of Nonlinear Equations with Componentwise Convex Mappings and Applications to Image Reconstruction in Multispectral CT	6
Bayesian Imaging with Data-Driven Priors Encoded by Neural Networks	6
A Low-Rank Tensor Completion Method via Strassen–Ottaviani Flattening	6
On Assignment Problems Related to Gromov–Wasserstein Distances on the Real Line	5
Data Fusion for a Multiscale Model of a Wheat Leaf Surface: A Unifying Approach Using a Radial Basis Function Partition of Unity Method	5
Spherical Image Inpainting with Frame Transformation and Data-Driven Prior Deep Networks	5
Multiview Point Cloud Registration with Anisotropic and Spatially Varying Localization Noise	5
Short Communication: FISTA Iterates Converge Linearly for Denoiser-Driven Regularization	5
A Fast Data-Driven Iteratively Regularized Method with Convex Penalty for Solving Ill-Posed Problems	5
Linesearch-Enhanced Forward–Backward Methods for Inexact Nonconvex Scenarios	5
Generalized Nonconvex Hyperspectral Anomaly Detection via Background Representation Learning with Dictionary Constraint	5
Acoustic Imaging via a Viscosity Approximation of an Elliptic System Generated by the Lavrent’ev Integral Operator	5
V-Line Tensor Tomography: Numerical Results	5
Image Recovery for Blind Polychromatic Ptychography	5
TILT: Topological Interface Recovery in Limited-Angle Tomography	5
Distributed Stochastic Inertial-Accelerated Methods with Delayed Derivatives for Nonconvex Problems	5
QIS : Interactive Segmentation via Quasi-conformal Mappings	5
A Fast Averaged Kaczmarz Iteration with Convex Penalty for Inverse Problems in Hilbert Spaces	4
Bilateral Tensor Low-Rank Representation for Insufficient Observed Samples in Multidimensional Image Clustering and Recovery	4
Bioinspired Random Projections for Robust, Sparse Classification	4
Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation	4
Linear Convergence of Randomized Kaczmarz Method for Solving Complex-Valued Phaseless Equations	4
The Linear Sampling Method for Data Generated by Small Random Scatterers	4
PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent	4
Long-Time Asymptotics of the Sliced-Wasserstein Flow	4
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior	4
High-Frequency Limit of the Inverse Scattering Problem: Asymptotic Convergence from Inverse Helmholtz to Inverse Liouville	4

Tight-Frame-Like Analysis-Sparse Recovery Using Nontight Sensing Matrices	4
Optimality Conditions for Bilevel Imaging Learning Problems with Total Variation Regularization	4
Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling	4
Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors	4
Accelerated Optimization in the PDE Framework: Formulations for the Manifold of Diffeomorphisms	4
Image Denoising: The Deep Learning Revolution and Beyond—A Survey Paper	4
An Algorithm to Compute Any Simple $k$-gon of a Maximum Area or Perimeter Inscribed in a Region of Interest	4
A Variational Model for Nonuniform Low-Light Image Enhancement	3
A Contrast-Saturation Adaptive Model for Low-Light Image Enhancement	3
Practical Acceleration of the Condat–Vũ Algorithm	3
Accelerated Bayesian Imaging by Relaxed Proximal-Point Langevin Sampling	3
An Optimal Bayesian Estimator for Absorption Coefficient in Diffuse Optical Tomography	3
Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization	3
Image Warp Preserving Content Intensity	3
Singular Value Decomposition of the Wave Forward Operator with Radial Variable Coefficients	3
Using Decoupled Features for Photorealistic Style Transfer	3
Joint Reconstruction-Segmentation on Graphs	3
An Inexact Majorized Proximal Alternating Direction Method of Multipliers for Diffusion Tensors	3
Provably Convergent Plug-and-Play Quasi-Newton Methods	3
An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee	3
NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems	3
A New Variational Model for Shape Graph Registration with Partial Matching Constraints	3
An Active Contour Model with Local Variance Force Term and Its Efficient Minimization Solver for Multiphase Image Segmentation	3
Adaptive and Implicit Regularization for Matrix Completion	2
A Majorization-Minimization Algorithm for Neuroimage Registration	2
A Projected Nesterov–Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology	2
A Quantum Information-Based Refoundation of Color Perception Concepts	2
Efficient Bayesian Computation for Low-Photon Imaging Problems	2
Three-Stage Approach for 2D/3D Diffeomorphic Multimodality Image Registration with Textural Control	2
Learnable Nonlocal Self-Similarity of Deep Features for Image Denoising	2
Toward Single Particle Reconstruction without Particle Picking: Breaking the Detection Limit	2
Bijective Density-Equalizing Quasiconformal Map for Multiply Connected Open Surfaces	2
Separable Quaternion Matrix Factorization for Polarization Images	2
Provable Phase Retrieval with Mirror Descent	2
Deep Learning--Based Dictionary Learning and Tomographic Image Reconstruction	2
Asymptotic Links between Signal Processing, Acoustic Metamaterials, and Biology	2
Spherical Framelets from Spherical Designs	2
Averaging Orientations with Molecular Symmetry in Cryo-EM	2
A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion	2
Regularized CNN with Geodesic Active Contour and Edge Predictor for Image Segmentation	2
Diffusion Bridges for Stochastic Hamiltonian Systems and Shape Evolutions	2
Iterative Direct Sampling Method for Elliptic Inverse Problems with Limited Cauchy Data	2
Robust Tensor Completion: Equivalent Surrogates, Error Bounds, and Algorithms	2
Steerable Near-Quadrature Filter Pairs in Three Dimensions	2
Learning Sparsity-Promoting Regularizers Using Bilevel Optimization	2
On Phase Unwrapping via Digital Wavefront Sensors	2
Stable Local-Smooth Principal Component Pursuit	2
Topological Identification of Vortical Flow Structures in the Left Ventricle of the Heart	2
Proximal Langevin Sampling with Inexact Proximal Mapping	2
Robustness of Data-Driven Approaches in Limited Angle Tomography	2
Identification of Sparsely Representable Diffusion Parameters in Elliptic Problems	1
Assembling a Learnable Mumford–Shah Type Model with Multigrid Technique for Image Segmentation	1
Single Pixel X-ray Transform and Related Inverse Problems	1
Tensor Robust Principal Component Analysis via Tensor Fibered Rank and \({\boldsymbol{{l_p}}}\) Minimization	1
Inclusion and Estimates for the Jumps of Minimizers in Variational Denoising	1
Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown View Tomography	1
Bilevel Training Schemes in Imaging for Total Variation--Type Functionals with Convex Integrands	1
A Wasserstein-Type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis	1
Model-Centric Data Manifold: The Data Through the Eyes of the Model	1
Off-the-Grid Curve Reconstruction through Divergence Regularization: An Extreme Point Result	1
NeurTV: Total Variation on the Neural Domain	1
Learning Truly Monotone Operators with Applications to Nonlinear Inverse Problems	1
\(\boldsymbol {n}\)-Dimensional Volumetric Stretch Energy Minimization for Volume-/Mass-Preserving Parameterizations with Applications	1
An Adaptive Heavy Ball Method for Ill-Posed Inverse Problems	1
A Splitting Scheme for Flip-Free Distortion Energies	1
A Unifying Framework for $n$-Dimensional Quasi-Conformal Mappings	1
Stochastic Variance Reduced Gradient for Affine Rank Minimization Problem	1
Imaging of Atmospheric Dispersion Processes with Differential Absorption Lidar	1
Short Communication: Weak Sparse Superresolution is Well-Conditioned	1
Removing the Mask—Reconstructing a Real-Valued Field on the Sphere from a Masked Field by Spherical Fourier Analysis	1
Approximate Inversion of a Class of Generalized Radon Transforms	1
Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent	1
A Boundary Integral Equation Method for the Complete Electrode Model in Electrical Impedance Tomography with Tests on Experimental Data	1
Compressive Learning for Patch-Based Image Denoising	1
Theoretical Foundation of the Stretch Energy Minimization for Area-Preserving Simplicial Mappings	1
The Linear Sampling Method for Random Sources	1
Multispectral Image Restoration by Generalized Opponent Transformation Total Variation	1
Imaging a Moving Point Source from Multifrequency Data Measured at One and Sparse Observation Directions (Part I): Far-Field Case	1
Blind Time-of-Flight Imaging: Sparse Deconvolution on the Continuum with Unknown Kernels	1
Reduced Order Modeling for First Order Hyperbolic Systems with Application to Multiparameter Acoustic Waveform Inversion	1

PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks	1
Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration	1
Self-Supervised Deep Learning for Image Reconstruction: A Langevin Monte Carlo Approach	1
Matrix Balancing Based Interior Point Methods for Point Set Matching Problems	1
Efficient Boosted DC Algorithm for Nonconvex Image Restoration with Rician Noise	1
Polarimetric Fourier Phase Retrieval	1
Dynamic Image Reconstruction with Motion Priors in Application to Three Dimensional Magnetic Particle Imaging	1
Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields	1
WARPd: A Linearly Convergent First-Order Primal-Dual Algorithm for Inverse Problems with Approximate Sharpness Conditions	1
Time-Domain Direct Sampling Method for Inverse Electromagnetic Scattering with a Single Incident Source	1
Restoration Guarantee of Image Inpainting via Low Rank Patch Matrix Completion	1
Imaging with Thermal Noise Induced Currents	1
\(\boldsymbol{L_1-\beta L_q}\) Minimization for Signal and Image Recovery	1
Regularization of Linear Inverse Problems with Irregular Noise Using Embedding Operators	1