OOIR: Observatory of International Research

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 2020-03-01 to 2024-03-01.)

Article	Citations
Surface-Localized Transmission Eigenstates, Super-resolution Imaging, and Pseudo Surface Plasmon Modes	35
Regularization by Denoising via Fixed-Point Projection (RED-PRO)	34
Learning Maximally Monotone Operators for Image Recovery	30
Bayesian Imaging Using Plug & Play Priors: When Langevin Meets Tweedie	28
Limited-Angle CT Reconstruction via the $L_1/L_2$ Minimization	26
On Learned Operator Correction in Inverse Problems	22
Group Sparse Optimization for Images Recovery Using Capped Folded Concave Functions	20
A Characteristic Function-Based Algorithm for Geodesic Active Contours	18
Robust CUR Decomposition: Theory and Imaging Applications	16
Learning Consistent Discretizations of the Total Variation	13
Bayesian Imaging with Data-Driven Priors Encoded by Neural Networks	12
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior	12
Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography	11
New Restricted Isometry Property Analysis for $\ell_1-\ell_2$ Minimization Methods	11
Strong Solutions for PDE-Based Tomography by Unsupervised Learning	11
Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent	10
The Modulo Radon Transform: Theory, Algorithms, and Applications	10
Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image	10
Regularized Kaczmarz Algorithms for Tensor Recovery	9
Image Denoising: The Deep Learning Revolution and Beyond—A Survey Paper	9
A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization	8
Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction	8
A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford--Shah Color and Multiphase Image Segmentation	7
Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss	7
A Color Elastica Model for Vector-Valued Image Regularization	7

DIP-VBTV: A Color Image Restoration Model Combining a Deep Image Prior and a Vector Bundle Total Variation	7
Color Image Restoration by Saturation-Value Total Variation Regularization on Vector Bundles	7
A Variational Approach to Additive Image Decomposition into Structure, Harmonic, and Oscillatory Components	7
Total Variation-Based Reconstruction and Phase Retrieval for Diffraction Tomography	7
A Generalized Primal-Dual Algorithm with Improved Convergence Condition for Saddle Point Problems	6
Compressive Imaging Through Optical Fiber with Partial Speckle Scanning	6
Learnable Empirical Mode Decomposition based on Mathematical Morphology	6
Efficient Boosted DC Algorithm for Nonconvex Image Restoration with Rician Noise	6
The Linearized Hellinger--Kantorovich Distance	6
Shared Prior Learning of Energy-Based Models for Image Reconstruction	6
Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework	6
A Variational Inequality Model for the Construction of Signals from Inconsistent Nonlinear Equations	5
A Class of Second-Order Geometric Quasilinear Hyperbolic PDEs and Their Application in Imaging	5
A Penalty Relaxation Method for Image Processing Using Euler's Elastica Model	5
Stable Image Reconstruction Using Transformed Total Variation Minimization	5
Fast Imaging of Sources and Scatterers in a Stratified Ocean Waveguide	5
Determinantal Point Processes for Image Processing	5
Improved Recovery Guarantees and Sampling Strategies for TV Minimization in Compressive Imaging	5
A Unifying Framework for $n$-Dimensional Quasi-Conformal Mappings	4
A Direct Sampling Method for the Inversion of the Radon Transform	4
Complex-Valued Imaging with Total Variation Regularization: An Application to Full-Waveform Inversion in Visco-acoustic Media	4
A New Variational Model for Shape Graph Registration with Partial Matching Constraints	4
Multiscale Approach for Three-Dimensional Conformal Image Registration	4
Patch-Based Image Restoration Using Expectation Propagation	4
Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks	4
Toward Single Particle Reconstruction without Particle Picking: Breaking the Detection Limit	4
Robust Tensor Completion: Equivalent Surrogates, Error Bounds, and Algorithms	4
Simultaneous Reconstruction of Conductivity, Boundary Shape, and Contact Impedances in Electrical Impedance Tomography	4
Limits of Accuracy for Parameter Estimation and Localization in Single-Molecule Microscopy via Sequential Monte Carlo Methods	3
A Regularized Affine-Scaling Trust-Region Method for Parametric Imaging of Dynamic PET Data	3
A Spectral Estimation Framework for Phase Retrieval via Bregman Divergence Minimization	3
Two-Stage Decolorization Based on Histogram Equalization and Local Variance Maximization	3
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution	3
Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields	3
Convexification Numerical Method for a Coefficient Inverse Problem for the Radiative Transport Equation	3
Imaging in Random Media by Two-Point Coherent Interferometry	3
Convergent Conformal Energy Minimization for the Computation of Disk Parameterizations	3
An Acousto-electric Inverse Source Problem	3
Sparse Inpainting with Smoothed Particle Hydrodynamics	3
Centering Noisy Images with Application to Cryo-EM	3
An Accelerated Level-Set Method for Inverse Scattering Problems	3
Modes of Homogeneous Gradient Flows	3
Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown View Tomography	3
Image Segmentation with Adaptive Spatial Priors from Joint Registration	3
Correlation Based Imaging for Rotating Satellites	3
Compressive Learning for Patch-Based Image Denoising	3
Compactification of the Rigid Motions Group in Image Processing	3
Low-Rank Tensor Approximations for Solving Multimarginal Optimal Transport Problems	3
A Splitting Scheme for Flip-Free Distortion Energies	3
Bilevel Training Schemes in Imaging for Total Variation--Type Functionals with Convex Integrands	3

Multiscale Factorization of the Wave Equation with Application to Compressed Sensing Photoacoustic Tomography	2
Model-Centric Data Manifold: The Data Through the Eyes of the Model	2
On the Convergence Rate of Projected Gradient Descent for a Back-Projection Based Objective	2
Microlocal Analysis of Generalized Radon Transforms from Scattering Tomography	2
A Projected Nesterov–Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology	2
Recovering Missing Data in Coherent Diffraction Imaging	2
High-Resolution, Quantitative Signal Subspace Imaging for Synthetic Aperture Radar	2
A Fast Averaged Kaczmarz Iteration with Convex Penalty for Inverse Problems in Hilbert Spaces	2
Off-the-Grid Curve Reconstruction through Divergence Regularization: An Extreme Point Result	2
Linear Convergence of Randomized Kaczmarz Method for Solving Complex-Valued Phaseless Equations	2
Provably Robust Blind Source Separation of Linear-Quadratic Near-Separable Mixtures	2
A Stochastic Variance Reduced Primal Dual Fixed Point Method for Linearly Constrained Separable Optimization	2
Parallelizable Global Quasi-Conformal Parameterization of Multiply Connected Surfaces via Partial Welding	2
Variational Rician Noise Removal via Splitting on Spheres	2
SISAL Revisited	2
Recovery of Surfaces and Functions in High Dimensions: Sampling Theory and Links to Neural Networks	2
A Quantum Information-Based Refoundation of Color Perception Concepts	2
Optimality Conditions for Bilevel Imaging Learning Problems with Total Variation Regularization	2
Imaging Anisotropic Conductivities from Current Densities	2
Efficient Bayesian Computation for Low-Photon Imaging Problems	2
Elastica Models for Color Image Regularization	2
Adaptive and Implicit Regularization for Matrix Completion	2
Multi-scale Classification for Electrosensing	2
Short Communication: Localized Adversarial Artifacts for Compressed Sensing MRI	2
A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion	2
Diffeomorphic Image Registration with an Optimal Control Relaxation and Its Implementation	2
Diffusion Bridges for Stochastic Hamiltonian Systems and Shape Evolutions	2
Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration	2
Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling	2
Utilizing Variational Autoencoders in the Bayesian Inverse Problem of Photoacoustic Tomography	2
PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent	2
On Assignment Problems Related to Gromov–Wasserstein Distances on the Real Line	2
Gaussian Patch Mixture Model Guided Low-Rank Covariance Matrix Minimization for Image Denoising	2
Nonlocal Perimeters and Curvature Flows on Graphs with Applications in Image Processing and High-Dimensional Data Classification	1
Harmonic Beltrami Signature: A Novel 2D Shape Representation for Object Classification	1
An Operator Theory for Analyzing the Resolution of Multi-illumination Imaging Modalities	1
Spherical Framelets from Spherical Designs	1
A Coherent Framework for Learning Spatiotemporal Piecewise-Geodesic Trajectories from Longitudinal Manifold-Valued Data	1
An Inexact Semismooth Newton Method on Riemannian Manifolds with Application to Duality-Based Total Variation Denoising	1
Tensor Robust Principal Component Analysis via Tensor Fibered Rank and ${\boldsymbol{{l_p}}}$ Minimization	1
Polynomial Preconditioners for Regularized Linear Inverse Problems	1
A PDE-Based Method for Shape Registration	1
Bar Code Decoding in a Camera-Based Scanner: Analysis and Algorithm	1
An Active Contour Model with Local Variance Force Term and Its Efficient Minimization Solver for Multiphase Image Segmentation	1
Patch-Based Holographic Image Sensing	1
A Class of Priors for Color Image Restoration Parameterized by Lie Groups Acting on Pixel Values	1
Convexification Numerical Method for a Coefficient Inverse Problem for the Riemannian Radiative Transfer Equation	1
Diffeomorphic Registration Using Sinkhorn Divergences	1
Theoretical Foundation of the Stretch Energy Minimization for Area-Preserving Simplicial Mappings	1
On the Convergence of Stochastic Gradient Descent for Linear Inverse Problems in Banach Spaces	1
An Image Registration Model in Electron Backscatter Diffraction	1
On Learning the Invisible in Photoacoustic Tomography with Flat Directionally Sensitive Detector	1
Parallel Transport Convolution: Deformable Convolutional Networks on Manifold-Structured Data	1
Transionospheric Autofocus for Synthetic Aperture Radar	1
Recovery of Piecewise Smooth Density and Lamé Parameters from High Frequency Exterior Cauchy Data	1
A Nonlocal Graph-PDE and Higher-Order Geometric Integration for Image Labeling	1
Convergence Analysis of the Harmonic $\boldsymbol{B_{{z}}}$ Algorithm with Single Injection Current in MREIT	1
A Variational Model for Spatially Weighting in Image Fusion	1
An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee	1
Joint Reconstruction-Segmentation on Graphs	1
Subaperture-Based Digital Aberration Correction for Optical Coherence Tomography: A Novel Mathematical Approach	1
A Novel Mesh Denoising Method Based on Relaxed Second-Order Total Generalized Variation	1
A Multiscale Deformation Representation	1
Short Communication: Weak Sparse Superresolution is Well-Conditioned	1
Inverse Problem for a Planar Conductivity Inclusion	1
Generalized Intersection Algorithms with Fixed Points for Image Decomposition Learning	1
Convergence Results for Primal-Dual Algorithms in the Presence of Adjoint Mismatch	1
Convergence Results in Image Interpolation With the Continuous SSIM	1
Distributed Stochastic Inertial-Accelerated Methods with Delayed Derivatives for Nonconvex Problems	1
WARPd: A Linearly Convergent First-Order Primal-Dual Algorithm for Inverse Problems with Approximate Sharpness Conditions	1
A Sufficient Condition of Optimality for the Relative Pose Problem between Cameras	1
Compressive Sampling for Array Cameras	1
Waveform Inversion with a Data Driven Estimate of the Internal Wave	1
Variational Densification and Refinement of Registration Maps	1
Asymptotic Links between Signal Processing, Acoustic Metamaterials, and Biology	1
Multiscale Hierarchical Image Decomposition and Refinements: Qualitative and Quantitative Results	1
Direct Estimation of Appearance Models for Segmentation	1
Turning Grain Maps into Diagrams	1
Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation	1