SIAM Journal on Imaging Sciences

Article	Citations
Diffeomorphic Registration Using Sinkhorn Divergences	134
A Class of Priors for Color Image Restoration Parameterized by Lie Groups Acting on Pixel Values	32
Subaperture-Based Digital Aberration Correction for Optical Coherence Tomography: A Novel Mathematical Approach	32
Spectral-Spatial Extraction through Layered Tensor Decomposition for Hyperspectral Anomaly Detection	28
Tangential Fixpoint Iterations for Gromov–Wasserstein Barycenters	27
Euler’s Elastica-Based Cartoon-Smooth-Texture Image Decomposition	24
A Formalization of Image Vectorization by Region Merging	20
Shape-Informed Graph Neural Networks and Data Assimilation: Application to Velocity and Pressure Reconstruction in Aortic Blood Flow	20
A Scale-Invariant Relaxation in Low-Rank Tensor Recovery with an Application to Tensor Completion	19
An Inverse Problems Approach to Pulse Wave Analysis in the Human Brain	18
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruptions	18
Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds	16
Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling	15
High-Resolution, Quantitative Signal Subspace Imaging for Synthetic Aperture Radar	15
Waveform Inversion with a Data Driven Estimate of the Internal Wave	15
Error Estimates for Weakly Convex Frame-Based Regularization Including Learned Filters	15
ROM Inversion of Monostatic Data Lifted to Full MIMO	14
Semi-Unbalanced Optimal Transport for Reference-Based Image Restoration and Synthesis	13
Riesz Feature Representation: Scale Equivariant Scattering Network for Classification Tasks	13
IFF: A Superresolution Algorithm for Multiple Measurements	13
Reduced Order Modeling Inversion of Monostatic Data in a Multi-scattering Environment	13
On Learning the Invisible in Photoacoustic Tomography with Flat Directionally Sensitive Detector	12
Randomized Orthogonal Matching Pursuit Algorithm with Adaptive Partial Selection for Sparse Signal Recovery	12
Imaging a Moving Point Source from Multifrequency Data Measured at One and Sparse Observation Points (Part II): Near-Field Case in 3D	12
Ground Penetrating Synthetic Aperture Imaging of Subsurface Targets	12

Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-Based Approach Integrating Maximum Mean Discrepancy and Optimal Transport	12
Schwarzschild Harmonic Path Planning and Tetrahedral Mesh Smoothing	11
An Adaptive Nonuniform Map Re-weighting Method for Image Dehazing	11
Convergence Results in Image Interpolation With the Continuous SSIM	11
Image Segmentation with Adaptive Spatial Priors from Joint Registration	11
A Primal-Dual Splitting Algorithm with Convex Combination and Larger Step Sizes for Composite Monotone Inclusion Problems	11
Sequential Model Correction for Nonlinear Inverse Problems	10
Topology-Guaranteed Image Segmentation: Enforcing Connectivity, Genus, and Width Constraints	10
Analysis of View Aliasing for the Generalized Radon Transform in \({\mathbb R}^{\textbf{2}}\)	10
Localization of Point Scatterers via Sparse Optimization on Measures	10
Smoothing Priors for Blind Image Deblurring	10
Parallelizable Global Quasi-Conformal Parameterization of Multiply Connected Surfaces via Partial Welding	10
Displacement and Pressure Reconstruction from Magnetic Resonance Elastography Images: Application to an In Silico Brain Model	10
The \(\boldsymbol{{p}_0}\)-Laplace “Signature” for Quasilinear Inverse Problems	10
A Novel Adaptive Low-Rank Matrix Approximation Method for Image Compression and Reconstruction	10
A Spatial Color Compensation Model Using Saturation-Value Total Variation	9
Turning Grain Maps into Diagrams	9
Nonlocal Perimeters and Curvature Flows on Graphs with Applications in Image Processing and High-Dimensional Data Classification	9
A Low-Rank Tensor Completion Method via Strassen–Ottaviani Flattening	9
Direct Imaging of Moving Acoustic Point Sources	9
Subspace Method of Moments for Ab Initio 3-D Single Particle Cryo-EM Reconstruction	9
Data Fusion for a Multiscale Model of a Wheat Leaf Surface: A Unifying Approach Using a Radial Basis Function Partition of Unity Method	8
Dictionary-Based Block Term Decomposition for Third-Order Tensors	8
Early Stopping of Untrained Convolutional Neural Networks	8
Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play Algorithms	8
On the Convergence of Stochastic Gradient Descent for Linear Inverse Problems in Banach Spaces	8
Selective Focusing of Multiple Particles in a Layered Medium	8
Convergence Analysis of the Harmonic \(\boldsymbol{B_{{z}}}\) Algorithm with Single Injection Current in MREIT	8
Blind Hyperspectral and Multispectral Images Fusion: A Unified Tensor Fusion Framework from Coupled Inverse Problem Perspective	8
Increasing Stability for Recovering Anisotropic Potential in Elastic Scattering from a Linearized Dirichlet to Neumann Map	8
Elastica Models for Color Image Regularization	7
On Assignment Problems Related to Gromov–Wasserstein Distances on the Real Line	7
Convergence Analysis of the Nonlinear Kaczmarz Method for Systems of Nonlinear Equations with Componentwise Convex Mappings and Applications to Image Reconstruction in Multispectral CT	7
Polynomial Preconditioners for Regularized Linear Inverse Problems	7
A Fast Data-Driven Iteratively Regularized Method with Convex Penalty for Solving Ill-Posed Problems	7
Image Recovery for Blind Polychromatic Ptychography	7
Convergent Alternating Minimization for Multislice Ptychographic Phase Retrieval and Its Acceleration via Forward Correction and Extrapolation	7
Optimality Conditions for Bilevel Imaging Learning Problems with Total Variation Regularization	6
An Algorithm to Compute Any Simple $k$-gon of a Maximum Area or Perimeter Inscribed in a Region of Interest	6
Spherical Image Inpainting with Frame Transformation and Data-Driven Prior Deep Networks	6
Acoustic Imaging via a Viscosity Approximation of an Elliptic System Generated by the Lavrent’ev Integral Operator	6
A Coarse-to-Fine Hybrid Registration and Fusion Framework for Hyperspectral Superresolution via Batch Image Alignment	6
PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent	6
Short Communication: FISTA Iterates Converge Linearly for Denoiser-Driven Regularization	6
Linesearch-Enhanced Forward–Backward Methods for Inexact Nonconvex Scenarios	6
The Linear Sampling Method for Data Generated by Small Random Scatterers	6
Tight-Frame-Like Analysis-Sparse Recovery Using Nontight Sensing Matrices	6
V-Line Tensor Tomography: Numerical Results	6
Group Equivariant Morphological Networks	6
TILT: Topological Interface Recovery in Limited-Angle Tomography	6

Multiview Point Cloud Registration with Anisotropic and Spatially Varying Localization Noise	6
Structured Analytic Mappings for Point Set Registration	5
An Active Contour Model with Local Variance Force Term and Its Efficient Minimization Solver for Multiphase Image Segmentation	5
NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems	5
Consistent Connected Operators Based on Trees of Shapes	5
Long-Time Asymptotics of the Sliced-Wasserstein Flow	5
Bilateral Tensor Low-Rank Representation for Insufficient Observed Samples in Multidimensional Image Clustering and Recovery	5
Image Denoising: The Deep Learning Revolution and Beyond—A Survey Paper	5
Invertible ResNets for Inverse Imaging Problems: Competitive Performance with Provable Regularization Properties	5
Accurate, Provable, and Fast Polychromatic Tomographic Reconstruction: A Variational Inequality Approach	5
Accelerated Bayesian Imaging by Relaxed Proximal-Point Langevin Sampling	5
Bioinspired Random Projections for Robust, Sparse Classification	5
Sampling Theory for Super-resolution with Implicit Neural Representations	5
Generalized Nonconvex Hyperspectral Anomaly Detection via Background Representation Learning with Dictionary Constraint	5
Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling	5
High-Frequency Limit of the Inverse Scattering Problem: Asymptotic Convergence from Inverse Helmholtz to Inverse Liouville	5
Diffuse Optical Tomography with an Inaccurately Known Domain Boundary	5
Joint Reconstruction-Segmentation on Graphs	5
Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors	5
Recovering the Grating Profile from Limited-Aperture Observation: Data Retrieval and Shape Reconstruction	5
QIS : Interactive Segmentation via Quasi-conformal Mappings	5
Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation	5
An Inexact Majorized Proximal Alternating Direction Method of Multipliers for Diffusion Tensors	4
Singular Value Decomposition of the Wave Forward Operator with Radial Variable Coefficients	4
Image Warp Preserving Content Intensity	4
Learning Sparsity-Promoting Regularizers Using Bilevel Optimization	4
Connected-Component Preserving Image Segmentation Using the Iterative Convolution-Thresholding Method	4
Deep Learning--Based Dictionary Learning and Tomographic Image Reconstruction	4
Using Decoupled Features for Photorealistic Style Transfer	4
Adaptive Unsupervised Anomaly Detection in Variable Environment by Online Expectation Maximization	4
Provably Convergent Plug-and-Play Quasi-Newton Methods	4
Asymptotic Links between Signal Processing, Acoustic Metamaterials, and Biology	4
Practical Acceleration of the Condat–Vũ Algorithm	4
On Phase Unwrapping via Digital Wavefront Sensors	4
A Quantum Information-Based Refoundation of Color Perception Concepts	4
A Variational Model for Nonuniform Low-Light Image Enhancement	4
Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization	4
A Contrast-Saturation Adaptive Model for Low-Light Image Enhancement	4
An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee	4
Close-to-Optimal Counter Histogram-Based Forensics Using Mean Structural Similarity Index Metric	4
On the Nonconvexity Issue in the Radial Calderón Problem	4
Proximal Langevin Sampling with Inexact Proximal Mapping	3
Uncertainty Estimation for Learning-Based Classification of Corrupted Images	3
Spherical Framelets from Spherical Designs	3
Normalized Radon Cumulative Distribution Transforms for Invariance and Robustness in Optimal Transport Based Image Classification	3
Provable Phase Retrieval with Mirror Descent	3
Stable Local-Smooth Principal Component Pursuit	3
Local Analysis of Iterative Reconstruction from Discrete Generalized Radon Transform Data in the Plane	3
A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion	3
Learnable Nonlocal Self-Similarity of Deep Features for Image Denoising	3
Particle Filtering for Nondeterministic Electrocardiographic Imaging	3
Adaptive and Implicit Regularization for Matrix Completion	3
Averaging Orientations with Molecular Symmetry in Cryo-EM	3
Iterative Direct Sampling Method for Elliptic Inverse Problems with Limited Cauchy Data	3
Efficient Bayesian Computation for Low-Photon Imaging Problems	3
Universal Architectures for the Learning of Polyhedral Norms and Convex Regularizers	3
Bijective Density-Equalizing Quasiconformal Map for Multiply Connected Open Surfaces	3
Robustness of Data-Driven Approaches in Limited Angle Tomography	3
Toward Single Particle Reconstruction without Particle Picking: Breaking the Detection Limit	3
Separable Quaternion Matrix Factorization for Polarization Images	3
Geometric Shape Matching for Recovering Protein Conformations from Single-Particle Cryo-EM Data	3
A Majorization-Minimization Algorithm for Neuroimage Registration	3
A Projected Nesterov–Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology	3
Topological Identification of Vortical Flow Structures in the Left Ventricle of the Heart	3
Assembling a Learnable Mumford–Shah Type Model with Multigrid Technique for Image Segmentation	3
Total Generalized Variation of the Normal Vector Field and Applications to Mesh Denoising	3
Restoration Guarantee of Image Inpainting via Low Rank Patch Matrix Completion	2
Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration	2
Imaging of Atmospheric Dispersion Processes with Differential Absorption Lidar	2
Dynamic Image Reconstruction with Motion Priors in Application to Three Dimensional Magnetic Particle Imaging	2
Rethinking Coupled Tensor Analysis for Hyperspectral Superresolution: Recoverable Modeling under Endmember Variability	2
Reduced Order Modeling for First Order Hyperbolic Systems with Application to Multiparameter Acoustic Waveform Inversion	2
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks	2
Regularized CNN with Geodesic Active Contour and Edge Predictor for Image Segmentation	2
A Boundary Integral Equation Method for the Complete Electrode Model in Electrical Impedance Tomography with Tests on Experimental Data	2
NeurTV: Total Variation on the Neural Domain	2
Blind Time-of-Flight Imaging: Sparse Deconvolution on the Continuum with Unknown Kernels	2
Imaging with Thermal Noise Induced Currents	2
The Linear Sampling Method for Random Sources	2
\(\boldsymbol{L_1-\beta L_q}\) Minimization for Signal and Image Recovery	2

Single Pixel X-ray Transform and Related Inverse Problems	2
Self-Supervised Deep Learning for Image Reconstruction: A Langevin Monte Carlo Approach	2
A Wasserstein-Type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis	2
Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields	2
Tensor Robust Principal Component Analysis via Tensor Fibered Rank and \({\boldsymbol{{l_p}}}\) Minimization	2
WARPd: A Linearly Convergent First-Order Primal-Dual Algorithm for Inverse Problems with Approximate Sharpness Conditions	2
Compressive Learning for Patch-Based Image Denoising	2
Tensor Robust Principal Component Analysis Based on a Two-Layer Tucker Rank Minimization Model	2
Identification of Sparsely Representable Diffusion Parameters in Elliptic Problems	2
\(\boldsymbol {n}\)-Dimensional Volumetric Stretch Energy Minimization for Volume-/Mass-Preserving Parameterizations with Applications	2
Three-Stage Approach for 2D/3D Diffeomorphic Multimodality Image Registration with Textural Control	2
Stochastic Variance Reduced Gradient for Affine Rank Minimization Problem	2
Imaging a Moving Point Source from Multifrequency Data Measured at One and Sparse Observation Directions (Part I): Far-Field Case	2
Off-the-Grid Curve Reconstruction through Divergence Regularization: An Extreme Point Result	2