OOIR: Observatory of International Research

Papers

(The median citation count of SIAM Journal on Imaging Sciences is 2. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Learning Maximally Monotone Operators for Image Recovery	52
Regularization by Denoising via Fixed-Point Projection (RED-PRO)	51
Bayesian Imaging Using Plug & Play Priors: When Langevin Meets Tweedie	42
Limited-Angle CT Reconstruction via the $L_1/L_2$ Minimization	42
Surface-Localized Transmission Eigenstates, Super-resolution Imaging, and Pseudo Surface Plasmon Modes	36
Group Sparse Optimization for Images Recovery Using Capped Folded Concave Functions	27
On Learned Operator Correction in Inverse Problems	27
Robust CUR Decomposition: Theory and Imaging Applications	22
A Characteristic Function-Based Algorithm for Geodesic Active Contours	20
Image Denoising: The Deep Learning Revolution and Beyond—A Survey Paper	20
Strong Solutions for PDE-Based Tomography by Unsupervised Learning	16
New Restricted Isometry Property Analysis for $\ell_1-\ell_2$ Minimization Methods	15
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior	14
Regularized Kaczmarz Algorithms for Tensor Recovery	14
Learning Consistent Discretizations of the Total Variation	14
Bayesian Imaging with Data-Driven Priors Encoded by Neural Networks	14
A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization	14
Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent	13
Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography	13
The Modulo Radon Transform: Theory, Algorithms, and Applications	12
Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss	11
Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction	11
Toward Single Particle Reconstruction without Particle Picking: Breaking the Detection Limit	11
A Generalized Primal-Dual Algorithm with Improved Convergence Condition for Saddle Point Problems	10
A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford--Shah Color and Multiphase Image Segmentation	10

Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image	10
DIP-VBTV: A Color Image Restoration Model Combining a Deep Image Prior and a Vector Bundle Total Variation	9
A Unifying Framework for $n$-Dimensional Quasi-Conformal Mappings	9
The Linearized Hellinger--Kantorovich Distance	9
Robust Tensor Completion: Equivalent Surrogates, Error Bounds, and Algorithms	9
Learnable Empirical Mode Decomposition based on Mathematical Morphology	9
Stable Image Reconstruction Using Transformed Total Variation Minimization	8
Color Image Restoration by Saturation-Value Total Variation Regularization on Vector Bundles	8
A Color Elastica Model for Vector-Valued Image Regularization	8
A Variational Approach to Additive Image Decomposition into Structure, Harmonic, and Oscillatory Components	8
A Class of Second-Order Geometric Quasilinear Hyperbolic PDEs and Their Application in Imaging	8
Compactification of the Rigid Motions Group in Image Processing	8
On the Convergence Rate of Projected Gradient Descent for a Back-Projection Based Objective	7
Total Variation-Based Reconstruction and Phase Retrieval for Diffraction Tomography	7
A Variational Inequality Model for the Construction of Signals from Inconsistent Nonlinear Equations	7
Efficient Boosted DC Algorithm for Nonconvex Image Restoration with Rician Noise	7
Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework	7
Improved Recovery Guarantees and Sampling Strategies for TV Minimization in Compressive Imaging	6
Fast Imaging of Sources and Scatterers in a Stratified Ocean Waveguide	6
Compressive Imaging Through Optical Fiber with Partial Speckle Scanning	6
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution	6
Multiscale Factorization of the Wave Equation with Application to Compressed Sensing Photoacoustic Tomography	6
Fractional Fourier Transforms Meet Riesz Potentials and Image Processing	6
A Penalty Relaxation Method for Image Processing Using Euler's Elastica Model	6
A Quantum Information-Based Refoundation of Color Perception Concepts	6
Simultaneous Reconstruction of Conductivity, Boundary Shape, and Contact Impedances in Electrical Impedance Tomography	6
Multiscale Approach for Three-Dimensional Conformal Image Registration	6
Efficient Bayesian Computation for Low-Photon Imaging Problems	6
Determinantal Point Processes for Image Processing	6
Low-Rank Tensor Approximations for Solving Multimarginal Optimal Transport Problems	6
Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown View Tomography	5
A Multiscale Deformation Representation	5
Image Segmentation with Adaptive Spatial Priors from Joint Registration	5
Patch-Based Image Restoration Using Expectation Propagation	5
Compressive Learning for Patch-Based Image Denoising	5
Centering Noisy Images with Application to Cryo-EM	5
Shared Prior Learning of Energy-Based Models for Image Reconstruction	5
Convergent Conformal Energy Minimization for the Computation of Disk Parameterizations	5
A Direct Sampling Method for the Inversion of the Radon Transform	5
Linear Convergence of Randomized Kaczmarz Method for Solving Complex-Valued Phaseless Equations	5
Complex-Valued Imaging with Total Variation Regularization: An Application to Full-Waveform Inversion in Visco-acoustic Media	5
Diffeomorphic Registration Using Sinkhorn Divergences	5
Diffusion Bridges for Stochastic Hamiltonian Systems and Shape Evolutions	5
A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion	5
A Spectral Estimation Framework for Phase Retrieval via Bregman Divergence Minimization	5
Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks	5
Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms	5
A New Variational Model for Shape Graph Registration with Partial Matching Constraints	5
Theoretical Foundation of the Stretch Energy Minimization for Area-Preserving Simplicial Mappings	4
PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent	4

Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration	4
An Accelerated Level-Set Method for Inverse Scattering Problems	4
An Active Contour Model with Local Variance Force Term and Its Efficient Minimization Solver for Multiphase Image Segmentation	4
Imaging in Random Media by Two-Point Coherent Interferometry	4
Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling	4
Two-Stage Decolorization Based on Histogram Equalization and Local Variance Maximization	4
Turning Grain Maps into Diagrams	4
Parallelizable Global Quasi-Conformal Parameterization of Multiply Connected Surfaces via Partial Welding	4
An Image Registration Model in Electron Backscatter Diffraction	4
Sparse Inpainting with Smoothed Particle Hydrodynamics	4
Waveform Inversion with a Data Driven Estimate of the Internal Wave	4
A Splitting Scheme for Flip-Free Distortion Energies	4
Convexification Numerical Method for a Coefficient Inverse Problem for the Radiative Transport Equation	4
A Novel Mesh Denoising Method Based on Relaxed Second-Order Total Generalized Variation	3
Bilevel Training Schemes in Imaging for Total Variation--Type Functionals with Convex Integrands	3
Compressed Sensing Photoacoustic Tomography Reduces to Compressed Sensing for Undersampled Fourier Measurements	3
Separable Quaternion Matrix Factorization for Polarization Images	3
Utilizing Variational Autoencoders in the Bayesian Inverse Problem of Photoacoustic Tomography	3
Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields	3
Gaussian Patch Mixture Model Guided Low-Rank Covariance Matrix Minimization for Image Denoising	3
Limits of Accuracy for Parameter Estimation and Localization in Single-Molecule Microscopy via Sequential Monte Carlo Methods	3
Variational Rician Noise Removal via Splitting on Spheres	3
An Acousto-electric Inverse Source Problem	3
Tensor Robust Principal Component Analysis via Tensor Fibered Rank and ${\boldsymbol{{l_p}}}$ Minimization	3
Off-the-Grid Curve Reconstruction through Divergence Regularization: An Extreme Point Result	3
$\boldsymbol{L_1-\beta L_q}$ Minimization for Signal and Image Recovery	3
Modes of Homogeneous Gradient Flows	3
A Regularized Affine-Scaling Trust-Region Method for Parametric Imaging of Dynamic PET Data	3
Model-Centric Data Manifold: The Data Through the Eyes of the Model	3
Correlation Based Imaging for Rotating Satellites	3
Provably Robust Blind Source Separation of Linear-Quadratic Near-Separable Mixtures	3
A Stochastic Variance Reduced Primal Dual Fixed Point Method for Linearly Constrained Separable Optimization	3
An Inexact Semismooth Newton Method on Riemannian Manifolds with Application to Duality-Based Total Variation Denoising	2
Imaging Anisotropic Conductivities from Current Densities	2
An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee	2
On Assignment Problems Related to Gromov–Wasserstein Distances on the Real Line	2
Short Communication: Weak Sparse Superresolution is Well-Conditioned	2
Diffeomorphic Image Registration with an Optimal Control Relaxation and Its Implementation	2
Recovery of Surfaces and Functions in High Dimensions: Sampling Theory and Links to Neural Networks	2
Recovering Missing Data in Coherent Diffraction Imaging	2
Adaptive and Implicit Regularization for Matrix Completion	2
Optimality Conditions for Bilevel Imaging Learning Problems with Total Variation Regularization	2
Compressive Sampling for Array Cameras	2
High-Resolution, Quantitative Signal Subspace Imaging for Synthetic Aperture Radar	2
A Fast Data-Driven Iteratively Regularized Method with Convex Penalty for Solving Ill-Posed Problems	2
Multi-scale Classification for Electrosensing	2
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruptions	2
SISAL Revisited	2
Harmonic Beltrami Signature: A Novel 2D Shape Representation for Object Classification	2
Training Adaptive Reconstruction Networks for Blind Inverse Problems	2
A Projected Nesterov–Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology	2
Transionospheric Autofocus for Synthetic Aperture Radar	2
Posterior-Variance–Based Error Quantification for Inverse Problems in Imaging	2
Asymptotic Links between Signal Processing, Acoustic Metamaterials, and Biology	2
Elastica Models for Color Image Regularization	2
Subaperture-Based Digital Aberration Correction for Optical Coherence Tomography: A Novel Mathematical Approach	2
An Operator Theory for Analyzing the Resolution of Multi-illumination Imaging Modalities	2
Microlocal Analysis of Generalized Radon Transforms from Scattering Tomography	2
Short Communication: Localized Adversarial Artifacts for Compressed Sensing MRI	2
A Fast Averaged Kaczmarz Iteration with Convex Penalty for Inverse Problems in Hilbert Spaces	2
Spherical Framelets from Spherical Designs	2