*SIIMS( Vol No. )*
* ***Journal on Imaging Sciences**

*SIIMS(1)*
* Area Distances Of Convex Plane Curves And Improper Affine Spheres

* Cascadic Multiresolution Methods For Image Deblurring

* Combining Image Reconstruction And Image Analysis With An Application To Two-Dimensional Tomography

* Direct Elastic Imaging Of A Small Inclusion

* Edge Illumination And Imaging Of Extended Reflectors

* Efficient Reconstruction Of Piecewise Constant Images Using Nonsmooth Nonconvex Minimization

* Inpainting By Flexible Haar-Wavelet Shrinkage

* New Alternating Minimization Algorithm For Total Variation Image Reconstruction, A

* Nonlinear Inverse Scale Space Method For A Convex Multiplicative Noise Model, A

* Quantitative Object Reconstruction Using Abel Transform X-Ray Tomography And Mixed Variable Optimization

* Segmentation Under Occlusions Using Selective Shape Prior

* Sparse And Redundant Modeling Of Image Content Using An Image-Signature-Dictionary

* Topology Preserving Linear Filtering Applied To Medical Imaging

* Variational Assimilation Of Fluid Motion From Image Sequence

14 for SIIMS(1)

*SIIMS(10)*
* Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models

* ADMM in Krylov Subspace and Its Application to Total Variation Restoration of Spatially Variant Blur

* Alternating Direction Method of Multipliers for a Class of Nonconvex and Nonsmooth Problems with Applications to Background/Foreground Extraction

* Analysis of Iterative Methods in Photoacoustic Tomography with Variable Sound Speed

* Analytic Inversion of a Conical Radon Transform Arising in Application of Compton Cameras on the Cylinder

* Bayesian Topological Framework for the Identification and Reconstruction of Subcellular Motion, A

* Block Nonlocal TV Method for Image Restoration, A

* CLEAR: Covariant LEAst-Square Refitting with Applications to Image Restoration

* Compton Scattering Tomography: Feature Reconstruction and Rotation-Free Modality

* Conservative Scale Recomposition for Multiscale Denoising (The Devil is in the High Frequency Detail)

* Contrario Detection of Faces: A Case Example, A

* Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions on General Weighted Graphs

* Discrete Total Variation: New Definition and Minimization

* Eigenvalues of Random Matrices with Isotropic Gaussian Noise and the Design of Diffusion Tensor Imaging Experiments

* Extending the Power Watershed Framework Thanks to Gamma-Convergence

* Factorization Method for Multifrequency Inverse Source Problems with Sparse Far Field Measurements, A

* Fast Magnetic Resonance Electrical Impedance Tomography with Highly Undersampled Data

* Filtrated Algebraic Subspace Clustering

* Finite Differences in Forward and Inverse Imaging Problems: MaxPol Design

* Forward-Adjoint Operator Pair Based on the Elastic Wave Equation for Use in Transcranial Photoacoustic Computed Tomography, A

* Generalized Linear Sampling Method for Limited Aperture Measurements, The

* Generalized Sinkhorn Iterations for Regularizing Inverse Problems Using Optimal Mass Transport

* Geodesic Landmark Shooting Algorithm for Template Matching and Its Applications, A

* Graph Similarity through Entropic Manifold Alignment

* Guidefill: GPU Accelerated, Artist Guided Geometric Inpainting for 3D Conversion of Film

* High Resolution Inverse Scattering in Two Dimensions Using Recursive Linearization

* Image Denoising via Multiscale Nonlinear Diffusion Models

* Imaging in Random Media with Convex Optimization

* Imaging of Local Rough Surfaces by the Linear Sampling Method with Near-Field Data

* Imaging Polarizable Dipoles

* Infimal Convolution of Data Discrepancies for Mixed Noise Removal

* Interactive Video Colorization Within a Variational Framework

* Joint Multichannel Deconvolution and Blind Source Separation

* Joint Sparse Recovery Framework for Accurate Reconstruction of Inclusions in Elastic Media, A

* Kernel Density Estimation on Spaces of Gaussian Distributions and Symmetric Positive Definite Matrices

* Langevin Equations for Landmark Image Registration with Uncertainty

* Large-Scale Optimization Method Using a Sparse Approximation of the Hessian for Magnetic Resonance Fingerprinting, A

* Lattice-Based Patterned Fabric Inspection by Using Total Variation with Sparsity and Low-Rank Representations

* Layover Analysis in Synthetic Aperture Imagery

* Little Engine That Could: Regularization by Denoising (RED), The

* Low Dimensional Manifold Model for Image Processing

* Mapping-Adaptive Convolution: A Fundamental Theory for Homography or Perspective Invariant Matching Methods, The

* Matched-Filter and Correlation-Based Imaging for Fast Moving Objects Using a Sparse Network of Receivers

* Mathematical Framework for Abdominal Electrical Impedance Tomography to Assess Fatness

* Maximum-a-Posteriori Estimation with Bayesian Confidence Regions

* Most Likely Separation of Intensity and Warping Effects in Image Registration

* Motion Estimation and Correction in Photoacoustic Tomographic Reconstruction

* Multi-Domain Regularization Based Computed Tomography for High-Speed Rotation Objects

* Multifrequency Interferometric Imaging with Intensity-Only Measurements

* Multiscale Nonrigid Point Cloud Registration Using Rotation-Invariant Sliced-Wasserstein Distance via Laplace-Beltrami Eigenmap

* Multiscale Segmentation via Bregman Distances and Nonlinear Spectral Analysis

* Nonconvex-TV Based Image Restoration with Impulse Noise Removal

* Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics, A

* Nonlocal Means and Optimal Weights for Noise Removal

* Numerical Computation of Weil-Peterson Geodesics in the Universal Teichmüller Space

* Numerical Framework for Sobolev Metrics on the Space of Curves, A

* On the Absence of Uniform Recovery in Many Real-World Applications of Compressed Sensing and the Restricted Isometry Property and Nullspace Property in Levels

* PCM-TV-TFV: A Novel Two-Stage Framework for Image Reconstruction from Fourier Data

* Point Spread Function Field Learning Based on Optimal Transport Distances

* Rapid Solution of the Cryo-EM Reconstruction Problem by Frequency Marching

* Reducing Streaking Artifacts in Quantitative Susceptibility Mapping

* Resistivity Tensor Imaging via Network Discretization of Faraday's Law

* Resolution Analysis of Passive Synthetic Aperture Imaging of Fast Moving Objects

* Sequential Convex Programming for Computing Information-Theoretic Minimal Partitions: Nonconvex Nonsmooth Optimization

* Space of Essential Matrices as a Riemannian Quotient Manifold, The

* Steerable Principal Components for Space-Frequency Localized Images

* Tale of Two Bases: Local-Nonlocal Regularization on Image Patches with Convolution Framelets, A

* Template Estimation in Computational Anatomy: Fréchet Means Top and Quotient Spaces Are Not Consistent

* Template Shape Estimation: Correcting an Asymptotic Bias

* Texture Inpainting Using Efficient Gaussian Conditional Simulation

* Theoretical Analysis of Active Contours on Graphs

* Topological Sensitivity for Solving Inverse Multiple Scattering Problems in Three-dimensional Electromagnetism. Part I: One Step Method

* Total Variation Denoising in L^1 Anisotropy

* Truncated L_1-2 Models for Sparse Recovery and Rank Minimization

* Unified Approach to the Well-Posedness of Some Non-Lambertian Models in Shape-from-Shading Theory, A

* Volume Reconstruction from Slices

76 for SIIMS(10)

*SIIMS(11)*
* Algorithm for Optimal Transport between a Simplex Soup and a Point Cloud, An

* Analysis and an Interior-Point Approach for TV Image Reconstruction Problems on Smooth Surfaces

* Analyzing Reconstruction Artifacts from Arbitrary Incomplete X-ray CT Data

* Anisotropic Inf-Convolution BV Type Model for Dynamic Reconstruction, An

* Averaged Kaczmarz Iteration for Solving Inverse Problems, The

* Benchmark Problems for Phase Retrieval

* BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights

* Blind Deconvolution by a Steepest Descent Algorithm on a Quotient Manifold

* Blind Source Separation with Outliers in Transformed Domains

* Cahn-Hilliard Inpainting with the Double Obstacle Potential

* Coherence Retrieval Using Trace Regularization

* Compensated Convexity Methods for Approximations and Interpolations of Sampled Functions in Euclidean Spaces: Applications to Contour Lines, Sparse Data, and Inpainting

* Composite Optimization by Nonconvex Majorization-Minimization

* Covering the Space of Tilts. Application to Affine Invariant Image Comparison

* Critical Contours: An Invariant Linking Image Flow with Salient Surface Organization

* Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems

* Denoising AMP for MRI Reconstruction: BM3D-AMP-MRI

* Dense Scale Selection Over Space, Time, and Space-Time

* Density-Equalizing Maps for Simply Connected Open Surfaces

* Direct Imaging Method for Inverse Scattering by Unbounded Rough Surfaces, A

* Efficient Bayesian Computation by Proximal Markov Chain Monte Carlo: When Langevin Meets Moreau

* Enhancing Compressed Sensing 4D Photoacoustic Tomography by Simultaneous Motion Estimation

* Exact Camera Location Recovery by Least Unsquared Deviations

* Fast Randomized Algorithms for t-Product Based Tensor Operations and Decompositions with Applications to Imaging Data

* Finding Low-Rank Solutions via Nonconvex Matrix Factorization, Efficiently and Provably

* First- and Second-Order Methods for Online Convolutional Dictionary Learning

* Graph Framework for Manifold-Valued Data, A

* High-Dimensional Mixture Models for Unsupervised Image Denoising (HDMI)

* Image Denoising with Generalized Gaussian Mixture Model Patch Priors

* Image Extrapolation for the Time Discrete Metamorphosis Model: Existence and Applications

* Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment

* Image Reconstruction in Quantitative Photoacoustic Tomography with the Simplified P_2 Approximation

* Image Reconstruction with Imperfect Forward Models and Applications in Deblurring

* Imaging Extended Reflectors in a Terminating Waveguide

* Indirect Image Registration with Large Diffeomorphic Deformations

* Inexact Half-Quadratic Optimization for Linear Inverse Problems

* Infimal Convolution of Oscillation Total Generalized Variation for the Recovery of Images with Structured Texture

* Interpolation of the MacAdam Ellipses

* Joint Segmentation/Registration Model Based on a Nonlocal Characterization of Weighted Total Variation and Nonlocal Shape Descriptors, A

* Lamé Parameter Estimation from Static Displacement Field Measurements in the Framework of Nonlinear Inverse Problems

* Learning Theory of Randomized Sparse Kaczmarz Method

* Level Set Regularization Using Geometric Flows

* Linear Reaction-Diffusion System with Interior Degeneration for Color Image Compression, A

* Local Image Structure and Procrustes Metrics

* Magnetic Resonance Electrical Impedance Tomography (MREIT): Convergence and Reduced Basis Approach

* Maximum Volume Inscribed Ellipsoid: A New Simplex-Structured Matrix Factorization Framework via Facet Enumeration and Convex Optimization

* Morphing of Manifold-Valued Images Inspired by Discrete Geodesics in Image Spaces

* Motion Smoothing Strategies for 2D Video Stabilization

* Multienergy Cone-Beam Computed Tomography Reconstruction with a Spatial Spectral Nonlocal Means Algorithm

* Multifractal Analysis of Multivariate Images Using Gamma Markov Random Field Priors

* Multiple Measurement Vector Approach to Synthetic Aperture Radar Imaging, A

* New Optimization Approach to Sparse Reconstruction of Log-Conductivity in Acousto-Electric Tomography, A

* Nonlinear Method for Imaging with Acoustic Waves Via Reduced Order Model Backprojection, A

* Numerical Method to Solve a Phaseless Coefficient Inverse Problem from a Single Measurement of Experimental Data, A

* On Collaborative Compressive Sensing Systems: The Framework, Design, and Algorithm

* Optimal Compressive Imaging of Fourier Data

* Optimization Methods for In-Line Holography

* Parameterized Joint Reconstruction of the Initial Pressure and Sound Speed Distributions for Photoacoustic Computed Tomography

* PET-MRI Joint Reconstruction by Joint Sparsity Based Tight Frame Regularization

* Phase-Space Sketching for Crystal Image Analysis Based on Synchrosqueezed Transforms

* Plug-and-Play Unplugged: Optimization-Free Reconstruction Using Consensus Equilibrium

* Primal and Mixed Finite Element Methods for Deformable Image Registration Problems

* Quasi)Periodicity Quantification in Video Data, Using Topology

* Reconstructing Fine Details of Small Objects by Using Plasmonic Spectroscopic Data

* Reconstructing Fine Details of Small Objects by Using Plasmonic Spectroscopic Data. Part II: The Strong Interaction Regime

* Rendition: Reclaiming What a Black Box Takes Away

* Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference

* Reweighted Joint Spatial-Radon Domain CT Image Reconstruction Model for Metal Artifact Reduction, A

* Self-Calibration and Bilinear Inverse Problems via Linear Least Squares

* Spectral Methods for Passive Imaging: Nonasymptotic Performance and Robustness

* Spherical Designs and Nonconvex Minimization for Recovery of Sparse Signals on the Sphere

* Steerable Graph Laplacian and its Application to Filtering Image Datasets, The

* Stochastic Image Models from SIFT-Like Descriptors

* Structural Variability from Noisy Tomographic Projections

* Sub-Riemannian Modular Framework for Diffeomorphism-Based Analysis of Shape Ensembles, A

* Texture Synthesis Model Based on Semi-Discrete Optimal Transport in Patch Space, A

* Theoretical Analysis of Flows Estimating Eigenfunctions of One-Homogeneous Functionals

* Topological Sensitivity for Solving Inverse Multiple Scattering Problems in Three-Dimensional Electromagnetism. Part II: Iterative Method

* Total Generalized Variation for Manifold-Valued Data

* Total Variation Regularization Strategies in Full-Waveform Inversion

* Total Variation-Based Phase Retrieval for Poisson Noise Removal

* Truncated Nuclear Norm Minimization Based Group Sparse Representation for Image Restoration

* Uniqueness Results for Scattering and Inverse Scattering by Infinite Rough Surfaces with Tapered Wave Incidence

* Variational Image Regularization with Euler's Elastica Using a Discrete Gradient Scheme

* Variational Model for Joint Motion Estimation and Image Reconstruction, A

* Variational Phase Retrieval with Globally Convergent Preconditioned Proximal Algorithm

* Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning

87 for SIIMS(11)

*SIIMS(12)*
* Analysis of Regularized Kantorovich-Rubinstein Metric and Its Application to Inverse Gravity Problems

* Analysis of the Block Coordinate Descent Method for Linear Ill-Posed Problems

* Angular Accuracy of Steerable Feature Detectors

* Bayesian 3D Reconstruction of Complex Scenes from Single-Photon Lidar Data

* Blind Ptychographic Phase Retrieval via Convergent Alternating Direction Method of Multipliers

* Blind Source Separation Technique for Document Restoration, A

* Color Image Restoration by Saturation-Value Total Variation

* Comparative Study of Different Variants of Newton-Krylov PDE-Constrained Stokes-LDDMM Parameterized in the Space of Band-Limited Vector Fields, A

* Computing Quasi-Conformal Folds

* Continuum Limits of Nonlocal p-Laplacian Variational Problems on Graphs

* Convex Approach to Superresolution and Regularization of Lines in Images, A

* Convexification Method for an Inverse Scattering Problem and Its Performance for Experimental Backscatter Data for Buried Targets

* Corrected Tensor Nuclear Norm Minimization Method for Noisy Low-Rank Tensor Completion, A

* Directional Compactly Supported Tensor Product Complex Tight Framelets with Applications to Image Denoising and Inpainting

* Dynamic Spike Superresolution and Applications to Ultrafast Ultrasound Imaging

* Edge, Ridge, and Blob Detection with Symmetric Molecules

* Efficient Projection onto the Ll_(inf,1) Mixed-Norm Ball Using a Newton Root Search Method

* Efficient Relaxations for Dense CRFs with Sparse Higher-Order Potentials

* Entropy-Based Selection of Cluster Representatives for Document Image Compression

* Extended Sampling Method for Inverse Elastic Scattering Problems Using One Incident Wave

* Extraction of Digital Wavefront Sets Using Applied Harmonic Analysis and Deep Neural Networks

* Fast Multilevel Algorithms for Compressive Principal Component Pursuit

* Fast Nonoverlapping Block Jacobi Method for the Dual Rudin-Osher-Fatemi Model

* Flexible Space-Variant Anisotropic Regularization for Image Restoration with Automated Parameter Selection, A

* Generalization of Wirtinger Flow for Exact Interferometric Inversion, A

* Global Optimality in Separable Dictionary Learning with Applications to the Analysis of Diffusion MRI

* Greedy Approach to Ll_(0,inf)-Based Convolutional Sparse Coding, A

* Highly Accurate Matching of Weakly Localized Features

* Hybrid Adaptive Phase Space Method for Reflection Traveltime Tomography, A

* Intrinsic Isometric Manifold Learning with Application to Localization

* Invariant phi-Minimal Sets and Total Variation Denoising on Graphs

* Inverse Acoustic Scattering with Phaseless Far Field Data: Uniqueness, Phase Retrieval, and Direct Sampling Methods

* Inverse Obstacle Scattering for Elastic Waves with Phased or Phaseless Far-Field Data

* Issues with Common Assumptions about the Camera Pipeline and Their Impact in HDR Imaging from Multiple Exposures

* Large-Scale Bayesian Spatial-Temporal Regression with Application to Cardiac MR-Perfusion Imaging

* Lattice Identification and Separation: Theory and Algorithm

* Learning-Based Method for Solving Ill-Posed Nonlinear Inverse Problems: A Simulation Study of Lung EIT, A

* Low-Rank Approach to Off-the-Grid Sparse Superresolution, A

* Multiphase Mumford-Shah Problem, The

* Multiple Relaxation Time Lattice Boltzmann Models for Multigrid Phase-Field Segmentation of Tumors in 3D Ultrasound Images

* Multiplicative Noise Removal for Texture Images Based on Adaptive Anisotropic Fractional Diffusion Equations

* Multivariate Myriad Filters Based on Parameter Estimation of Student-t Distributions

* New Operator Splitting Method for the Euler Elastica Model for Image Smoothing, A

* New Variational Model for Joint Image Reconstruction and Motion Estimation in Spatiotemporal Imaging, A

* Non-Lipschitz Models for Image Restoration with Impulse Noise Removal

* Nonconvex Optimization for 3-Dimensional Point Source Localization Using a Rotating Point Spread Function

* Novel Algorithm for Volume-Preserving Parameterizations of 3-Manifolds, A

* Numerical Framework for Efficient Motion Estimation on Evolving Sphere-Like Surfaces Based on Brightness and Mass Conservation Laws, A

* Numerical Inversion of Three-Dimensional Geodesic X-Ray Transform Arising from Travel Time Tomography

* Online Deconvolution for Industrial Hyperspectral Imaging Systems

* Optimal Transport Approximation of 2-Dimensional Measures

* Patch Redundancy in Images: A Statistical Testing Framework and Some Applications

* Proximal Activation of Smooth Functions in Splitting Algorithms for Convex Image Recovery

* Quantitative Magnetic Resonance Imaging: From Fingerprinting to Integrated Physics-Based Models

* Reconstruction of Domains with Algebraic Boundaries from Generalized Polarization Tensors

* Revisiting Maximum-a-Posteriori Estimation in Log-Concave Models

* Robust Phase Retrieval Algorithm for Time-Frequency Structured Measurements

* Scalable Bayesian Uncertainty Quantification in Imaging Inverse Problems via Convex Optimization

* Shape Reconstruction in Inverse Scattering by an Inhomogeneous Cavity with Internal Measurements

* Sinkhorn Algorithm for Lifted Assignment Problems

* SPARCOM: Sparsity Based Super-resolution Correlation Microscopy

* Sparse Bayesian Imaging of Solar Flares

* Sparsity-Inducing Nonconvex Nonseparable Regularization for Convex Image Processing

* Structural Connectivity Analysis Using Finsler Geometry

* Target Reconstruction with a Reference Point Scatterer using Phaseless Far Field Patterns

* Three-Dimensional Volume Reconstruction Using Two-Dimensional Parallel Slices

* Two-Stage Algorithm for Joint Multimodal Image Reconstruction, A

* Uniqueness and Direct Imaging Method for Inverse Scattering by Locally Rough Surfaces with Phaseless Near-Field Data

* Variable Density Sampling Scheme for Compressive Fourier Transform Interferometry, A

* Well-Posedness for Photoacoustic Tomography with Fabry-Perot Sensors

* Whole Brain Susceptibility Mapping Using Harmonic Incompatibility Removal

71 for SIIMS(12)

*SIIMS(13)*
* 3D Orientation-Preserving Variational Models for Accurate Image Registration

* Accelerated Optimization in the PDE Framework Formulations for the Active Contour Case

* Accelerating Proximal Markov Chain Monte Carlo by Using an Explicit Stabilized Method

* Accelerating Sparse Recovery by Reducing Chatter

* Adaptive Variational Model for Contrast Enhancement of Low-Light Images

* Algorithm for Second Order Mumford-Shah Models Based on a Taylor Jet Formulation, An

* Anisotropic Adapted Meshes for Image Segmentation: Application to Three-Dimensional Medical Data

* Asymptotic Expansions for Higher Order Elliptic Equations with an Application to Quantitative Photoacoustic Tomography

* Automatically Controlled Morphing of 2D Shapes with Textures

* Bayesian Inference and Uncertainty Quantification for Medical Image Reconstruction with Poisson Data

* Cartoon-Texture Image Decomposition using Orientation Characteristics in Patch Recurrence

* Common Lines Ab Initio Reconstruction of D_2-Symmetric Molecules in Cryo-Electron Microscopy

* Compressive Computed Tomography Reconstruction through Denoising Approximate Message Passing

* Computation of Circular Area and Spherical Volume Invariants via Boundary Integrals

* Convergence of the Time Discrete Metamorphosis Model on Hadamard Manifolds

* Convexification for a Three-Dimensional Inverse Scattering Problem with the Moving Point Source

* CURE: Curvature Regularization for Missing Data Recovery

* Curvature Regularized Surface Reconstruction from Point Clouds

* Data Driven Tight Frame for Compressed Sensing MRI Reconstruction via Off-the-Grid Regularization

* Dictionary Learning for Two-Dimensional Kendall Shapes

* Diffeomorphic Image Registration Model with Fractional-Order Regularization and Cauchy-Riemann Constraint, A

* Differential Tomography of Micromechanical Evolution in Elastic Materials of Unknown Micro/Macrostructure

* Discriminative Projection and Representation-Based Classification Framework for Face Recognition, A

* Exact Recovery of Multichannel Sparse Blind Deconvolution via Gradient Descent

* Explicit Inversion Formulas for the Two-Dimensional Wave Equation from Neumann Traces

* Extended-Sampling-Bayesian Method for Limited Aperture Inverse Scattering Problems

* Fisher Information Matrix for Single Molecules with Stochastic Trajectories

* Fixed Point Analysis of Douglas-Rachford Splitting for Ptychography and Phase Retrieval

* Generalized Correlation-Based Imaging for Satellites

* Gray Level Indicator-Based Regularized Telegraph Diffusion Model: Application to Image Despeckling, A

* Gray Level Indicator-Based Regularized Telegraph Diffusion Model: Application to Image Despeckling, A

* High-Order Scheme for Image Segmentation via a Modified Level-Set Method, A

* High-Resolution Interferometric Synthetic Aperture Imaging in Scattering Media

* Higher-Order Total Directional Variation: Analysis

* Higher-Order Total Directional Variation: Imaging Applications

* Hypergraph Clustering Using a New Laplacian Tensor with Applications in Image Processing

* Image Segmentation with Partial Convexity Shape Prior Using Discrete Conformality Structures

* Imaging with the Elliptic Radon Transform in Three Dimensions from an Analytical and Numerical Perspective

* Low-Frequency Electromagnetic Imaging Using Sensitivity Functions and Beamforming

* Mathematical Morphology on the Triangular Grid: The Strict Approach

* Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach Part I: Methodology and Experiments

* Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach. Part II: Theoretical Analysis

* Microlocal Analysis of a Compton Tomography Problem

* Multigrid Optimization for Large-Scale Ptychographic Phase Retrieval

* Multimodal 3D Shape Reconstruction under Calibration Uncertainty Using Parametric Level Set Methods

* Multiplicative Noise Removal: Nonlocal Low-Rank Model and Its Proximal Alternating Reweighted Minimization Algorithm

* Multitaper Estimation on Arbitrary Domains

* Multiview Clustering of Images with Tensor Rank Minimization via Nonconvex Approach

* N-Dimensional Tensor Completion for Nuclear Magnetic Resonance Relaxometry

* New Efficient Algorithm for Volume-Preserving Parameterizations of Genus-One 3-Manifolds, A

* Nonlinear Iterative Hard Thresholding for Inverse Scattering

* Nonlocal Feature-Driven Exemplar-Based Approach for Image Inpainting, A

* Nonnegative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications

* Novel Proximal Gradient Methods for Nonnegative Matrix Factorization with Sparsity Constraints

* Numerical Reconstruction of Radiative Sources in an Absorbing and Nondiffusing Scattering Medium in Two Dimensions

* On Decomposition Models in Imaging Sciences and Multi-time Hamilton-Jacobi Partial Differential Equations

* Optimal Transport Driven CycleGAN for Unsupervised Learning in Inverse Problems

* Overparameterized Models for Vector Fields

* Parallelizable Global Conformal Parameterization of Simply-Connected Surfaces via Partial Welding

* Reconstruction of Smooth 3D Color Functions from Keypoints: Application to Lossy Compression and Exemplar-Based Generation of Color LUTs

* Reconstruction of the High Resolution Phase in a Closed Loop Adaptive Optics System

* Reduced Order Model Approach to Inverse Scattering

* Relaxed Gauss-Newton Methods with Applications to Electrical Impedance Tomography

* Sampling Theorem for Deconvolution in Two Dimensions, A

* Self-Assignment Flows for Unsupervised Data Labeling on Graphs

* Semisupervised Dictionary Learning with Graph Regularized and Active Points

* Simplifying Transforms for General Elastic Metrics on the Space of Plane Curves

* Solving Jigsaw Puzzles by the Graph Connection Laplacian

* Spectral Embedding Norm: Looking Deep into the Spectrum of the Graph Laplacian

* Superresolution in Recovering Embedded Electromagnetic Sources in High Contrast Media

* Synthetic Aperture Imaging and Motion Estimation Using Tensor Methods

* Three-Stage Variational Image Segmentation Framework Incorporating Intensity Inhomogeneity Information, A

* Trading Beams for Bandwidth: Imaging with Randomized Beamforming

* Variational Image Segmentation Model Based on Normalized Cut with Adaptive Similarity and Spatial Regularization, A

* Variational Model Dedicated to Joint Segmentation, Registration, and Atlas Generation for Shape Analysis, A

* Wasserstein-Type Distance in the Space of Gaussian Mixture Models, A

76 for SIIMS(13)

*SIIMS(14)*
* Acousto-electric Inverse Source Problem, An

* Adaptive Mesh Refinement in Deformable Image Registration: A Posteriori Error Estimates for Primal and Mixed Formulations

* Centering Noisy Images with Application to Cryo-EM

* Characteristic Function-Based Algorithm for Geodesic Active Contours, A

* Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework

* Class of Second-Order Geometric Quasilinear Hyperbolic PDEs and Their Application in Imaging, A

* Coherent Framework for Learning Spatiotemporal Piecewise-Geodesic Trajectories from Longitudinal Manifold-Valued Data, A

* Color Elastica Model for Vector-Valued Image Regularization, A

* Color Image Restoration by Saturation-Value Total Variation Regularization on Vector Bundles

* Complex-Valued Imaging with Total Variation Regularization: An Application to Full-Waveform Inversion in Visco-acoustic Media

* Compressed Sensing Photoacoustic Tomography Reduces to Compressed Sensing for Undersampled Fourier Measurements

* Compressive Sampling for Array Cameras

* Convergent Conformal Energy Minimization for the Computation of Disk Parameterizations

* Correlation Based Imaging for Rotating Satellites

* Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography

* Determinantal Point Processes for Image Processing

* Diffeomorphic Image Registration with an Optimal Control Relaxation and Its Implementation

* DIP-VBTV: A Color Image Restoration Model Combining a Deep Image Prior and a Vector Bundle Total Variation

* Direct Sampling Method for the Inversion of the Radon Transform, A

* Doubly Graduated Method for Inference in Markov Random Field, A

* Fast Imaging of Sources and Scatterers in a Stratified Ocean Waveguide

* Generalized Intersection Algorithms with Fixed Points for Image Decomposition Learning

* Group Sparse Optimization for Images Recovery Using Capped Folded Concave Functions

* Imaging in Random Media by Two-Point Coherent Interferometry

* Improved Recovery Guarantees and Sampling Strategies for TV Minimization in Compressive Imaging

* Inexact Semismooth Newton Method on Riemannian Manifolds with Application to Duality-Based Total Variation Denoising, An

* Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction

* Learning Consistent Discretizations of the Total Variation

* Learning Maximally Monotone Operators for Image Recovery

* Limited-Angle CT Reconstruction via the L_1/L_2 Minimization

* Microlocal Analysis of Generalized Radon Transforms from Scattering Tomography

* Modes of Homogeneous Gradient Flows

* Multi-scale Classification for Electrosensing

* Multiscale Factorization of the Wave Equation with Application to Compressed Sensing Photoacoustic Tomography

* Multiscale Hierarchical Image Decomposition and Refinements: Qualitative and Quantitative Results

* New Restricted Isometry Property Analysis for L_1-L_2 Minimization Methods

* Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks

* On Learned Operator Correction in Inverse Problems

* On the Asymptotic Equivalence Between the Radon and the Hough Transforms of Digital Images

* On the Convergence Rate of Projected Gradient Descent for a Back-Projection Based Objective

* Patch-Based Holographic Image Sensing

* Penalty Relaxation Method for Image Processing Using Euler's Elastica Model, A

* Provably Robust Blind Source Separation of Linear-Quadratic Near-Separable Mixtures

* Pseudo-monochromatic Imaging in Industrial X-Ray Computed Tomography

* Recovering Missing Data in Coherent Diffraction Imaging

* Recovery of Surfaces and Functions in High Dimensions: Sampling Theory and Links to Neural Networks

* Regularization by Denoising via Fixed-Point Projection (RED-PRO)

* Regularized Affine-Scaling Trust-Region Method for Parametric Imaging of Dynamic PET Data, A

* Regularized Kaczmarz Algorithms for Tensor Recovery

* Robust CUR Decomposition: Theory and Imaging Applications

* Shared Prior Learning of Energy-Based Models for Image Reconstruction

* Simultaneous Reconstruction of Conductivity, Boundary Shape, and Contact Impedances in Electrical Impedance Tomography

* Sparse Inpainting with Smoothed Particle Hydrodynamics

* Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization, A

* Stochastic Variance Reduced Primal Dual Fixed Point Method for Linearly Constrained Separable Optimization, A

* Strong Solutions for PDE-Based Tomography by Unsupervised Learning

* Sufficient Condition of Optimality for the Relative Pose Problem between Cameras, A

* Surface-Localized Transmission Eigenstates, Super-resolution Imaging, and Pseudo Surface Plasmon Modes

* Towards Statistically Provable Geometric 3D Human Pose Recovery

* Variational Approach to Additive Image Decomposition into Structure, Harmonic, and Oscillatory Components, A

* Variational Densification and Refinement of Registration Maps

* Variational Model for Spatially Weighting in Image Fusion, A

* Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image Segmentation, A

63 for SIIMS(14)

*SIIMS(15)*
* Accelerated Level-Set Method for Inverse Scattering Problems, An

* Accelerated Optimization in the PDE Framework: Formulations for the Manifold of Diffeomorphisms

* Adaptive and Implicit Regularization for Matrix Completion

* Algorithm to Compute Any Simple k-gon of a Maximum Area or Perimeter Inscribed in a Region of Interest, An

* Analysis for Full-Field Photoacoustic Tomography with Variable Sound Speed

* Bar Code Decoding in a Camera-Based Scanner: Analysis and Algorithm

* Bayesian Imaging Using Plug & Play Priors: When Langevin Meets Tweedie

* Bayesian Imaging with Data-Driven Priors Encoded by Neural Networks

* Bilevel Training Schemes in Imaging for Total Variation: Type Functionals with Convex Integrands

* Bioinspired Random Projections for Robust, Sparse Classification

* Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss

* Compactification of the Rigid Motions Group in Image Processing

* Compressive Imaging Through Optical Fiber with Partial Speckle Scanning

* Compressive Learning for Patch-Based Image Denoising

* Convergence Results in Image Interpolation With the Continuous SSIM

* Deep Learning: Based Dictionary Learning and Tomographic Image Reconstruction

* Diffusion Bridges for Stochastic Hamiltonian Systems and Shape Evolutions

* Direct Estimation of Appearance Models for Segmentation

* Distributed Stochastic Inertial-Accelerated Methods with Delayed Derivatives for Nonconvex Problems

* Efficient Boosted DC Algorithm for Nonconvex Image Restoration with Rician Noise

* Fast Averaged Kaczmarz Iteration with Convex Penalty for Inverse Problems in Hilbert Spaces, A

* Gaussian Patch Mixture Model Guided Low-Rank Covariance Matrix Minimization for Image Denoising

* General Non-Lipschitz Infimal Convolution Regularized Model: Lower Bound Theory and Algorithm, A

* Generalized Primal-Dual Algorithm with Improved Convergence Condition for Saddle Point Problems, A

* Harmonic Beltrami Signature: A Novel 2D Shape Representation for Object Classification

* High-Resolution, Quantitative Signal Subspace Imaging for Synthetic Aperture Radar

* Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image

* Image Registration Model in Electron Backscatter Diffraction, An

* Image Segmentation with Adaptive Spatial Priors from Joint Registration

* Image Warp Preserving Content Intensity

* Imaging Anisotropic Conductivities from Current Densities

* Learnable Empirical Mode Decomposition based on Mathematical Morphology

* Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields

* Limits of Accuracy for Parameter Estimation and Localization in Single-Molecule Microscopy via Sequential Monte Carlo Methods

* Linear Convergence of Randomized Kaczmarz Method for Solving Complex-Valued Phaseless Equations

* Linearized Hellinger-Kantorovich Distance, The

* L_1-Norm Regularization for Short-and-Sparse Blind Deconvolution: Point Source Separability and Region Selection

* Model-Centric Data Manifold: The Data Through the Eyes of the Model

* Modulo Radon Transform: Theory, Algorithms, and Applications, The

* Multiscale Approach for Three-Dimensional Conformal Image Registration

* New Variational Model for Shape Graph Registration with Partial Matching Constraints, A

* Novel Mesh Denoising Method Based on Relaxed Second-Order Total Generalized Variation, A

* Optimal Bayesian Estimator for Absorption Coefficient in Diffuse Optical Tomography, An

* Optimality Conditions for Bilevel Imaging Learning Problems with Total Variation Regularization

* Parallel Transport Convolution: Deformable Convolutional Networks on Manifold-Structured Data

* Parallelizable Global Quasi-Conformal Parameterization of Multiply Connected Surfaces via Partial Welding

* Patch-Based Image Restoration Using Expectation Propagation

* PDE-Based Method for Shape Registration, A

* Quantum Information-Based Refoundation of Color Perception Concepts, A

* Recovery of Piecewise Smooth Density and Lamé Parameters from High Frequency Exterior Cauchy Data

* Robust Tensor Completion: Equivalent Surrogates, Error Bounds, and Algorithms

* Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent

* Single Pixel X-ray Transform and Related Inverse Problems

* SISAL Revisited

* Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior

* Spatial Color Compensation Model Using Saturation-Value Total Variation, A

* Spectral Estimation Framework for Phase Retrieval via Bregman Divergence Minimization, A

* Splitting Scheme for Flip-Free Distortion Energies, A

* Stable Image Reconstruction Using Transformed Total Variation Minimization

* Steerable Near-Quadrature Filter Pairs in Three Dimensions

* Total Variation-Based Reconstruction and Phase Retrieval for Diffraction Tomography

* Unifying Framework for n-Dimensional Quasi-Conformal Mappings, A

* Variational Inequality Model for the Construction of Signals from Inconsistent Nonlinear Equations, A

* Variational Rician Noise Removal via Splitting on Spheres

* WARPd: A Linearly Convergent First-Order Primal-Dual Algorithm for Inverse Problems with Approximate Sharpness Conditions

* Whole and the Parts: The Minimum Description Length Principle and the A-Contrario Framework, The

66 for SIIMS(15)

*SIIMS(16)*
* Active Contour Model with Local Variance Force Term and Its Efficient Minimization Solver for Multiphase Image Segmentation, An

* Approximate Inversion of a Class of Generalized Radon Transforms

* Asymptotic Links between Signal Processing, Acoustic Metamaterials, and Biology

* Bilevel Imaging Learning Problems as Mathematical Programs with Complementarity Constraints: Reformulation and Theory

* Class of Priors for Color Image Restoration Parameterized by Lie Groups Acting on Pixel Values, A

* Common Lines Approach for Ab Initio Modeling of Molecules with Tetrahedral and Octahedral Symmetry, A

* Convergence Analysis of the Harmonic B_(z) Algorithm with Single Injection Current in MREIT

* Convergence Analysis of Volumetric Stretch Energy Minimization and Its Associated Optimal Mass Transport

* Convergence Results for Primal-Dual Algorithms in the Presence of Adjoint Mismatch

* Convexification Numerical Method for a Coefficient Inverse Problem for the Radiative Transport Equation

* Convexification Numerical Method for a Coefficient Inverse Problem for the Riemannian Radiative Transfer Equation

* Convolutional Forward Models for X-Ray Computed Tomography

* Data-Assisted Two-Stage Method for the Inverse Random Source Problem, A

* Diffeomorphic Registration Using Sinkhorn Divergences

* Displacement and Pressure Reconstruction from Magnetic Resonance Elastography Images: Application to an In Silico Brain Model

* Efficient Bayesian Computation for Low-Photon Imaging Problems

* Elastica Models for Color Image Regularization

* Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation

* Fast Data-Driven Iteratively Regularized Method with Convex Penalty for Solving Ill-Posed Problems, A

* High-Frequency Limit of the Inverse Scattering Problem: Asymptotic Convergence from Inverse Helmholtz to Inverse Liouville

* IFF: A Superresolution Algorithm for Multiple Measurements

* Image Denoising: The Deep Learning Revolution and Beyond: A Survey Paper

* Image Recovery for Blind Polychromatic Ptychography

* Imaging a Moving Point Source from Multifrequency Data Measured at One and Sparse Observation Directions (Part I): Far-Field Case

* Inverse Problem for a Planar Conductivity Inclusion

* Inversion of Band-Limited Discrete Fourier Transforms of Binary Images: Uniqueness and Algorithms

* Joint Reconstruction-Segmentation on Graphs

* Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion, A

* Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling

* Linear Sampling Method for Random Sources, The

* Low-Rank Tensor Approximations for Solving Multimarginal Optimal Transport Problems

* L_1 beta L_q Minimization for Signal and Image Recovery

* Matrix Balancing Based Interior Point Methods for Point Set Matching Problems

* Multiscale Deformation Representation, A

* Nonlocal Graph-PDE and Higher-Order Geometric Integration for Image Labeling, A

* Nonlocal Perimeters and Curvature Flows on Graphs with Applications in Image Processing and High-Dimensional Data Classification

* Numerical Reconstruction of Radiative Sources from Partial Boundary Measurements

* Off-the-Grid Curve Reconstruction through Divergence Regularization: An Extreme Point Result

* On Assignment Problems Related to Gromov-Wasserstein Distances on the Real Line

* On Learning the Invisible in Photoacoustic Tomography with Flat Directionally Sensitive Detector

* On the Convergence of Stochastic Gradient Descent for Linear Inverse Problems in Banach Spaces

* Operator Theory for Analyzing the Resolution of Multi-illumination Imaging Modalities, An

* Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown View Tomography

* PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent

* Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration

* Projected Nesterov-Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology, A

* Provable Phase Retrieval with Mirror Descent

* Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds

* Schwarzschild Harmonic Path Planning and Tetrahedral Mesh Smoothing

* Self-Supervised Deep Learning for Image Reconstruction: A Langevin Monte Carlo Approach

* Separable Quaternion Matrix Factorization for Polarization Images

* Sequential Model Correction for Nonlinear Inverse Problems

* Short Communication: Localized Adversarial Artifacts for Compressed Sensing MRI

* Short Communication: Weak Sparse Superresolution is Well-Conditioned

* Singular Value Decomposition of the Wave Forward Operator with Radial Variable Coefficients

* Spherical Framelets from Spherical Designs

* Spherical Image Inpainting with Frame Transformation and Data-Driven Prior Deep Networks

* Split Gibbs Sampler Revisited: Improvements to Its Algorithmic Structure and Augmented Target Distribution, The

* Stability and Reconstruction of a Special Type of Anisotropic Conductivity in Magneto-Acoustic Tomography with Magnetic Induction

* Stability for Finite Element Discretization of Some Inverse Parameter Problems from Internal Data: Application to Elastography

* Subaperture-Based Digital Aberration Correction for Optical Coherence Tomography: A Novel Mathematical Approach

* Tensor Robust Principal Component Analysis via Tensor Fibered Rank and l_p Minimization

* Theoretical Foundation of the Stretch Energy Minimization for Area-Preserving Simplicial Mappings

* Topological Identification of Vortical Flow Structures in the Left Ventricle of the Heart

* Total Generalized Variation for Piecewise Constant Functions on Triangular Meshes with Applications in Imaging

* Toward Single Particle Reconstruction without Particle Picking: Breaking the Detection Limit

* Transionospheric Autofocus for Synthetic Aperture Radar

* Turning Grain Maps into Diagrams

* Two-Stage Decolorization Based on Histogram Equalization and Local Variance Maximization

* Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee, An

* Using Decoupled Features for Photorealistic Style Transfer

* Utilizing Variational Autoencoders in the Bayesian Inverse Problem of Photoacoustic Tomography

* Waveform Inversion with a Data Driven Estimate of the Internal Wave

* WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution

74 for SIIMS(16)

*SIIMS(2)*
* Adapted Windows Detection Of Moving Objects In Video Scenes

* Affine Skeletons and Monge-Ampere Equations

* Anisotropic Cheeger Sets And Applications

* ASIFT: A New Framework For Fully Affine Invariant Image Comparison

* Brain Connectivity Mapping Using Riemannian Geometry, Control Theory, and PDEs

* Cahn-Hilliard Inpainting And A Generalization For Grayvalue Images

* Characterization and Analysis of Edges Using the Continuous Shearlet Transform

* Classification Via Minimum Incremental Coding Length

* Completion Of Visible Contours

* Compressive Imaging Of Subwavelength Structures

* Compressive Imaging: An Application

* Compressive Sensing By Random Convolution

* Conditionally Gaussian Hypermodels For Cerebral Source Localization

* Curvilinear Search Method For P-Harmonic Flows On Spheres, A

* Detection Of Intensity And Motion Edges Within Optical Flow Via Multidimensional Control

* Diffusion Interpretation Of Nonlocal Neighborhood Filters For Signal Denoising

* Efficient Beltrami Image Filtering Via Vector Extrapolation Methods

* Efficient Primal-Dual Method For L_1 TV Image Restoration, An

* Estimation Of Translation, Rotation, and Scaling Between Noisy Images Using The Fourier-Mellin Transform

* Expectation-Maximization Algorithm With Local Adaptivity

* Fast Algorithm For Edge-Preserving Variational Multichannel Image Restoration, A

* Fast Iterative Shrinkage-Thresholding Algorithm For Linear Inverse Problems, A

* Field Fluctuations, Imaging With Backscattered Waves, A Generalized Energy Theorem, and the Optical Theorem

* Generalized Newton-Type Methods For Energy Formulations In Image Processing

* Global Compartmental Pharmacokinetic Models For Spatiotemporal SPECT and PET Imaging

* Image Deconvolution Using A General Ridgelet And Curvelet Domain

* Imaging by Modification: Numerical Reconstruction of Local Conductivities from Corresponding Power Density Measurements

* Incompressible, Quasi-Isometric Deformations Of 2-Dimensional Domains

* Linearized Bregman Iterations For Frame-Based Image Deblurring

* Measure-Valued Images, Associated Fractal Transforms, and the Affine Self-Similarity of Images

* Nested Iterative Algorithms For Convex Constrained Image Recovery Problems

* New Total Variation Method For Multiplicative Noise Removal, A

* Nonlinear Elastic Shape Averaging Approach, A

* Nonlinear Inverse Scale Space Methods For Total Variation Blind Deconvolution

* On SAR Imaging Through The Earth'S Ionosphere

* On The Application Of The Monge-Kantorovich Problem To Image Registration

* On The Nonlinear Statistics of Range Image Patches

* On the Use of Start-Stop Approximation for Spaceborne SAR Imaging

* Passive Sensor Imaging Using Cross Correlations of Noisy Signals in a Scattering Medium

* Reconstruction Of Single-Grain Orientation Distribution Functions for Crystalline Materials

* Regularized Visibility-Based Approach to Astronomical Imaging Spectroscopy, A

* Scale-Space Analysis of Discrete Filtering Over Arbitrary Triangulated Surfaces

* Shape and Motion Estimation from Near-Field Echo-Based Sensor Data

* Smoothing Directional Vector Fields Using Dual Norms

* Split Bregman Method for L1-Regularized Problems, The

* Statistical Approach to the Matching of Local Features, A

* Statistical Hypothesis Testing For Postreconstructed And Postregistered Medical Images

* Synthetic Aperture Imaging Of Multiple Point Targets In Rician Fading Media

* Total Variation Regularization For Image Denoising, III. Examples.

49 for SIIMS(2)

*SIIMS(3)*
* Analysis and Generalizations of the Linearized Bregman Method

* Anisotropic alpha-Kernels and Associated Flows

* Application Of The Topological Gradient Method To Color Image Restoration

* Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration For ROF, Vectorial TV, and High Order Models

* Automatic Grid Resolution And Efficient Triangulation of Implicit Vector Field

* Bochner Subordination, Logarithmic Diffusion Equations, And Blind Deconvolution Of Hubble Space Telescope Imagery And Other Scientific Data

* Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction

* Clifford Bundles: A Common Framework For Image, Vector Field, and Orthonormal Frame Field Regularization

* Compressed Remote Sensing Of Sparse Objects

* Cross Correlation And Deconvolution of Noise Signals in Randomly Layered Media

* Deblurring of One Dimensional Bar Codes Via Total Variation Energy Minimization

* Diffeomorphic Active Contours

* Fast Algorithms for Source Identification Problems with Elliptic PDE Constraints

* Formal Gamma-Convergence Approach For The Detection of Points in 2-D Images, A

* General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization In Imaging Science, A

* Geometric Approach To Joint 2d Region-Based Segmentation and 3D Pose Estimation Using A 3d Shape Prior, A

* Global Interactions In Random Field Models: A Potential Function Ensuring Connectedness

* Global Optimization For One-Dimensional Structure And Motion Problems

* Global Solutions Of Variational Models With Convex Regularization

* Higher Order Positive Semidefinite Diffusion Tensor Imaging

* Higher-Order Feature-Preserving Geometric Regularization

* Image Sharpening Via Sobolev Gradient Flows

* Improved Total Variation-Type Regularization Using Higher Order Edge Detectors

* KDE Paring and a Faster Mean Shift Algorithm

* Learning The Morphological Diversity

* Multigrid Algorithm For High Order Denoising

* Multiphase Image Segmentation Method Based on Fuzzy Region Competition, A

* Multiplicative Noise Removal With Spatially Varying Regularization Parameters

* Multiscale Photon-Limited Spectral Image Reconstruction

* Nonparametric Regression Between General Riemannian Manifolds

* Numerical Algorithms For Polyenergetic Digital Breast Tomosynthesis Reconstruction

* Optimization By Stochastic Continuation

* Optimized Conformal Surface Registration With Shape-Based Landmark Matching

* Probabilistic Contour Observer For Online Visual Tracking, A

* Reciprocity Theorems for One-Way Wave Fields in Curvilinear Coordinate Systems

* Reconstruction Of Thin Tubular Inclusions in Three-Dimensional Domains Using Electrical Impedance Tomography

* Reinterpretation and Enhancement of Signal-Subspace-Based Imaging Methods For Extended Scatterers

* Semismooth Newton Method for L^1 Data Fitting with Automatic Choice of Regularization Parameters and Noise Calibration, A

* Sensitivity Analysis of Multichannel Images Intended for Instantaneous Imaging Spectrometry Applications

* Smoothing Nonlinear Conjugate Gradient Method For Image Restoration Using Nonsmooth Nonconvex Minimization

* Sparse Signal Reconstruction Via Iterative Support Detection

* Special Section On Optimization In Imaging Sciences

* Stabilization Of Flicker-Like Effects in Image Sequences Through Local Contrast Correction

* Total Generalized Variation

* Visual Multiple-Secret Sharing By Circle Random Grids

45 for SIIMS(3)

*SIIMS(4)*
* Accelerated Proximal Gradient Algorithm for Frame-Based Image Restoration via the Balanced Approach, An

* Adaptive Time-Frequency Detection and Filtering for Imaging in Heavy Clutter

* Alternating Direction Method for Image Inpainting in Wavelet Domains

* Bias-Variance Approach for the Nonlocal Means, A

* Combinatorial Continuous Maximum Flow

* Continuous Multiclass Labeling Approaches and Algorithms

* Continuous Primal-Dual Methods For Image Processing

* Contour Stencils: Total Variation along Curves for Adaptive Image Interpolation

* Directional Multiscale Amplitude and Phase Decomposition by the Monogenic Curvelet Transform

* Dithering By Differences Of Convex Functions

* Dual Carrier Probing For Spaceborne SAR Imaging

* Efficient Deterministic Compressed Sensing for Images with Chirps and Reed-Muller Codes

* Efficient Neumann Series-Based Algorithm for Thermoacoustic and Photoacoustic Tomography with Variable Sound Speed, An

* Fast Algorithm for Euler's Elastica Model Using Augmented Lagrangian Method, A

* Geometrically Guided Exemplar-Based Inpainting

* Gradient-Based Methods For Sparse Recovery

* Helmholtz Principle Approach To Parameter Free Change Detection And Coherent Motion Using Exchangeable Random Variables, A

* How Accurate Can Block Matches Be In Stereo Vision?

* How to Transform and Filter Images Using Iterated Function Systems

* Image Inpainting Based on Coherence Transport with Adapted Distance Functions

* Image-Driven Parameter Estimation in Absorption-Diffusion Models of Chromoscopy

* Integro-Differential Equations Based On (BV, L^1) Image Decomposition

* Inversion Formulas for a Cylindrical Radon Transform

* Large Scale Bayesian Inference And Experimental Design For Sparse Linear Models

* Level Set Based Multispectral Segmentation with Corners

* Line Search Multilevel Optimization as Computational Methods for Dense Optical Flow

* Local Image Features Resulting From 3-Dimensional Geometric Features, Illumination, And Movement: II

* Local Tomography and the Motion Estimation Problem

* Locally Parallel Texture Modeling

* Mumford-Shah-Euler Flow with Sphere Constraint and Applications to Color Image Inpainting

* Mumford-Shah-Like Method for Limited Data Tomography with an Application to Electron Tomography, A

* Nesta: A Fast And Accurate First-Order Method For Sparse Recovery

* New Geometric Metric in the Space of Curves, and Applications to Tracking Deforming Objects by Prediction and Filtering, A

* On The Illumination Invariance Of The Level Lines Under Directed Light: Application To Change Detection

* Parametric Level Set Methods for Inverse Problems

* Particle Filtering with Region-Based Matching for Tracking of Partially Occluded and Scaled Targets

* Robust Video Restoration by Joint Sparse and Low Rank Matrix Approximation

* Theory of Waveform-Diverse Moving-Target Spotlight Synthetic-Aperture Radar

* Three-Dimensional Structure Determination from Common Lines in Cryo-EM by Eigenvectors and Semidefinite Programming

* Tomographic Reconstruction of the Curl and Divergence of 2D Vector Fields Taking Refractions into Account

* Total Variation as a Local Filter

* Total Variation Model For Retinex, A

* Transient Wave Imaging with Limited-View Data

* Upwind Finite-Difference Method For Total Variation-Based Image Smoothing, An

* Viewing Angle Classification of Cryo-Electron Microscopy Images Using Eigenvectors

45 for SIIMS(4)

*SIIMS(5)*
* Adaptive Compressed Image Sensing Using Dictionaries

* Almost Local Metrics on Shape Space of Hypersurfaces in n-Space

* Approximating Symmetric Positive Semidefinite Tensors of Even Order

* Butterfly Algorithm for Synthetic Aperture Radar Imaging, A

* Coherence Pattern-Guided Compressive Sensing with Unresolved Grids

* Communications-Inspired Projection Design with Application to Compressive Sensing

* Convergence Analysis of Primal-Dual Algorithms for a Saddle-Point Problem: From Contraction Perspective

* Convex Approach to Minimal Partitions, A

* Convex Max-Flow Approach to Distribution-Based Figure-Ground Separation, A

* Dictionary Learning for Noisy and Incomplete Hyperspectral Images

* Edge Detection Filter based on Mumford-Shah Green Function

* Edge Guided Reconstruction for Compressive Imaging

* Fast Algorithms for Image Reconstruction with Application to Partially Parallel MR Imaging

* Fast Method for Segmenting Images with Additive Intensity Value, A

* Formal Gamma-Convergence Approach For The Detection of Points in 2-D Images, A

* Gauge Fields in Pictorial Space

* Generation of Correlated Gamma Distributed Random Fields for the Simulation of Synthetic Aperture Radar Images, The

* High-Order Regularized Regression in Electrical Impedance Tomography

* Image Denoising Using Mean Curvature of Image Surface

* Intrinsic Feature Extraction on Hippocampal Surfaces and Its Applications

* Multiscale Mining of fMRI Data with Hierarchical Structured Sparsity

* Multistatic Imaging of Extended Targets

* Multivalued Geodesic Ray-Tracing for Computing Brain Connections Using Diffusion Tensor Imaging

* Natural Vectorial Total Variation Which Arises from Geometric Measure Theory, The

* Nonlocal Active Contours

* Nonnegative Sparse Blind Source Separation for NMR Spectroscopy by Data Clustering, Model Reduction, and L_1 Minimization

* On Affine Invariant Descriptors Related to SIFT

* On the Circular Area Signature for Graphs

* One Shot Inverse Scattering via Rational Approximation

* Oracle Inequalities and Minimax Rates for Nonlocal Means and Related Adaptive Kernel-Based Methods

* Passive Imaging of Moving Targets Using Sparse Distributed Apertures

* Perspective Shape from Shading: Ambiguity Analysis and Numerical Approximations

* Photographing Paintings by Image Fusion

* Random Walk on Image Patches, A

* Regions of Backprojection and Comet Tail Artifacts for pi-Line Reconstruction Formulas in Tomography

* Robust Computational Algorithm for Inverse Photomask Synthesis in Optical Projection Lithography, A

* Sectional Curvature in Terms of the Cometric, with Applications to the Riemannian Manifolds of Landmarks

* Semismooth Newton Method for Nonlinear Parameter Identification Problems with Impulsive Noise, A

* Shape Reconstruction with A Priori Knowledge Based on Integral Invariants

* ShearLab: A Rational Design of a Digital Parabolic Scaling Algorithm

* Sobolev Gradients and Image Interpolation

* Subpixel Point Spread Function Estimation from Two Photographs at Different Distances

* Variational Approach for Sharpening High Dimensional Images, A

* Viewing Direction Estimation in Cryo-EM Using Synchronization

* Wavelet Decomposition Method for L_2/TV-Image Deblurring

45 for SIIMS(5)

*SIIMS(6)*
* A Contrario Model for Matching Interest Points under Geometric and Photometric Constraints, An

* Analysis of Descent-Based Image Registration

* Analysis of the Wavelet Ginzburg-Landau Energy in Image Applications with Edges

* Augmented Lagrangian-Based Sparse Representation Method with Dictionary Updating for Image Deblurring

* Augmented L_1 and Nuclear-Norm Models with a Globally Linearly Convergent Algorithm

* Bilevel Optimization Approach for Parameter Learning in Variational Models, A

* Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion, A

* Box Spline Wavelet Frames for Image Edge Analysis

* Clustered Sparsity and Separation of Cartoon and Texture

* Coded Hyperspectral Imaging and Blind Compressive Sensing

* Compressive Acquisition of Linear Dynamical Systems

* Conformal Mapping with as Uniform as Possible Conformal Factor

* Constrained Total Variation Deblurring Models and Fast Algorithms Based on Alternating Direction Method of Multipliers

* Contrario Selection of Optimal Partitions for Image Segmentation, A

* Convex Variational Image Restoration with Histogram Priors

* Convex Variational Model for Restoring Blurred Images with Multiplicative Noise, A

* Decay Properties of Riesz Transforms and Steerable Wavelets

* Description of the Minimizers of Least Squares Regularized with L_0-norm. Uniqueness of the Global Minimizer

* Discrete Geodesic Calculus in Shape Space and Applications in the Space of Viscous Fluidic Objects

* Dual Constrained TV-based Regularization on Graphs

* Estimation Method of the Homodyned K-Distribution Based on the Mean Intensity and Two Log-Moments

* Facial Recognition Using Tensor-Tensor Decompositions

* Factorization Method for Electromagnetic Inverse Scattering from Biperiodic Structures

* Family of Shape Ellipticity Measures for Galaxy Classification, A

* Fast 3D Blind Seismic Deconvolution via Constrained Total Variation and GCV

* Fidelity-Beltrami-Sparsity Model for Inverse Problems in Multichannel Image Processing

* Flutter Shutter Paradox, The

* Frobenius Integrability Theorem and the Blind-Spot Problem for Motor Vehicles, The

* Generalized Forward-Backward Splitting, A

* Geometric PCA of Images

* High-Dimension Multilabel Problems: Convex or Nonconvex Relaxation?

* Higher-Order Momentum Distributions and Locally Affine LDDMM Registration

* Hough Transform of Special Classes of Curves

* Hybrid Reconstruction Method for Quantitative PAT, A

* Image Registration with Sparse Approximations in Parametric Dictionaries

* Image Restoration with a New Class of Forward-Backward-Forward Diffusion Equations of Perona-Malik Type with Applications to Satellite Image Enhancement

* Implicit Image Differentiation and Filtering with Applications to Image Sharpening

* Level Set Estimation from Projection Measurements: Performance Guarantees and Fast Computation

* Localization, Stability, and Resolution of Topological Derivative Based Imaging Functionals in Elasticity

* Locating Multiple Multiscale Electromagnetic Scatterers by a Single Far-Field Measurement

* Low Patch-Rank Interpretation of Texture, A

* Majorize-Minimize Subspace Approach for L_2-L_0 Image Regularization, A

* MBO Scheme on Graphs for Classification and Image Processing, An

* Method for Finding Structured Sparse Solutions to Nonnegative Least Squares Problems with Applications, A

* Modeling Active Electrolocation in Weakly Electric Fish

* Morphological Bilateral Filtering

* Motion Textures: Modeling, Classification, and Segmentation Using Mixed-State Markov Random Fields

* New Semiblind Deconvolution Approach for Fourier-Based Image Restoration: An Application in Astronomy, A

* Nonconvex TVq-Models in Image Restoration: Analysis and a Trust-Region Regularization-Based Superlinearly Convergent Solver

* Nonlocal Bayesian Image Denoising Algorithm, A

* Novel Dynamic System in the Space of SPD Matrices with Applications to Appearance Tracking, A

* Numerical Recovery of Source Singularities via the Radiative Transfer Equation with Partial Data

* On the Retrieval of the Directional Scattering Matrix from Directional Noise

* Orientation Determination of Cryo-EM Images Using Least Unsquared Deviations

* Patch-Based Approach for Removing Impulse or Mixed Gaussian-Impulse Noise, A

* Perfect Match Condition for Point-Set Matching Problems Using the Optimal Mass Transport Approach, A

* Phase Retrieval via Matrix Completion

* Positive Semidefinite Generalized Diffusion Tensor Imaging via Quadratic Semidefinite Programming

* Posterior Expectation of the Total Variation Model: Properties and Experiments

* Processing Terrain Point Cloud Data

* Quantitative Fluorescence Photoacoustic Tomography

* Reconstruction of Surface and Stochastic Dynamics from a Planar Projection of Trajectories

* Recovering Over-/Underexposed Regions in Photographs

* Regularization Properties of Mumford-Shah-Type Functionals with Perimeter and Norm Constraints for Linear Ill-Posed Problems

* Restoration of Images Corrupted by Impulse Noise and Mixed Gaussian Impulse Noise Using Blind Inpainting

* Robust Locally Linear Analysis with Applications to Image Denoising and Blind Inpainting

* Scale Invariant Geometry for Nonrigid Shapes

* Selective Imaging of Extended Reflectors in Two-Dimensional Waveguides

* Sharp Sufficient Condition for B-Spline Vector Field Invertibility. Application to Diffeomorphic Registration and Interslice Interpolation, A

* Signal-to-Noise Ratio Estimation in Passive Correlation-Based Imaging

* Simultaneous Reconstruction of Outer Boundary Shape and Admittivity Distribution in Electrical Impedance Tomography

* Sparse Representation Prior and Total Variation-Based Image Deblurring under Impulse Noise

* Sparse Shape Reconstruction

* Stable Image Reconstruction Using Total Variation Minimization

* Subspace Correction Methods for a Class of Nonsmooth and Nonadditive Convex Variational Problems with Mixed L1/L2 Data-Fidelity in Image Processing

* SURE Guided Gaussian Mixture Image Denoising

* Symbol-Based Algorithm for Decoding Bar Codes, A

* Symmetrizing Smoothing Filters

* Synchrosqueezed Wave Packet Transform for 2D Mode Decomposition

* Synthetic Aperture Radar Imaging and Motion Estimation via Robust Principal Component Analysis

* Texture Map and Video Compression Using Beltrami Representation

* Tight Convex Relaxations for Vector-Valued Labeling

* Total Generalized Variation in Diffusion Tensor Imaging

* Tracking of a Mobile Target Using Generalized Polarization Tensors

* Two-Dimensional Tomography from Noisy Projections Taken at Unknown Random Directions

* Two-Level Convex Relaxed Variational Model for Multiplicative Denoising

* Two-Stage Image Segmentation Method Using a Convex Variant of the Mumford-Shah Model and Thresholding, A

* Unifying Parametric Framework for 2D Steerable Wavelet Transforms, A

* Uniqueness and Approximation of a Photometric Shape-from-Shading Model

* Variational Approach for Image Stitching I, A

* Variational Approach for Image Stitching II: Using Image Gradients, A

* Variational Histogram Equalization Method for Image Contrast Enhancement, A

* Variational Image Denoising Based on Autocorrelation Whiteness

* Varifold Representation of Nonoriented Shapes for Diffeomorphic Registration, The

* Vessel Segmentation in Medical Imaging Using a Tight-Frame-Based Algorithm

* Wavelet Frame Based Multiphase Image Segmentation

96 for SIIMS(6)

*SIIMS(7)*
* 2D Empirical Transforms. Wavelets, Ridgelets, and Curvelets Revisited

* Adapted Basis for Nonlocal Reconstruction of Missing Spectrum

* Adjoint State Method for the Identification Problem in SPECT: Recovery of Both the Source and the Attenuation in the Attenuated X-Ray Transform

* Algorithm for Variable Density Sampling with Block-Constrained Acquisition, An

* Analysis of Image Registration with Tangent Distance

* Approximating the Weil-Petersson Metric Geodesics on the Universal Teichmüller Space by Singular Solutions

* Asymptotic Analysis of Inpainting via Universal Shearlet Systems

* Backpropagation Imaging in Nonlinear Harmonic Holography in the Presence of Measurement and Medium Noises

* Best Algorithms for HDR Image Generation. A Study of Performance Bounds

* Biclustering Framework for Consensus Problems, A

* Bijective Mappings of Meshes with Boundary and the Degree in Mesh Processing

* Bistatic Synthetic Aperture Radar Imaging of Moving Targets Using Ultra-Narrowband Continuous Waveforms

* Color Bregman TV

* Complex Composite Derivative and Its Application to Edge Detection

* Compressed Sensing Framework for Magnetic Resonance Fingerprinting, A

* Computation of Quasi-Conformal Surface Maps Using Discrete Beltrami Flow

* Convex Relaxation of Vectorial Problems with Coupled Regularization

* Denoising an Image by Denoising Its Curvature Image

* Direct Differential Approach to Photometric Stereo with Perspective Viewing, A

* Efficient Image Segmentation and Restoration Using Parametric Curve Evolution with Junctions and Topology Changes

* Efficient Point-to-Subspace Query in L_1 with Application to Robust Object Instance Recognition

* Fast Alternating Direction Optimization Methods

* Fast Partitioning of Vector-Valued Images

* Fast Solvers for Cahn-Hilliard Inpainting

* Generalized Alternating Projection for Weighted-L_(2,1) Minimization with Applications to Model-Based Compressive Sensing

* Geometric Registration of High-Genus Surfaces

* How Shading Constrains Surface Patches without Knowledge of Light Sources

* Hypoelliptic Diffusion and Human Vision: A Semidiscrete New Twist

* Illusory Shapes via Corner Fusion

* Image Decompositions Using Spaces of Variable Smoothness and Integrability

* Image Restoration Using One-Dimensional Sobolev Norm Profiles of Noise and Texture

* Image Zooming by Curvature Interpolation and Iterative Refinement

* Imaging of Anisotropic Conductivities from Current Densities in Two Dimensions

* Imaging Strong Localized Scatterers with Sparsity Promoting Optimization

* Imaging with Kantorovich-Rubinstein Discrepancy

* Intensity Nonuniformity Correction for Brain MR Images with Known Voxel Classes

* Inverse Elastic Scattering for Multiscale Rigid Bodies with a Single Far-Field Pattern

* Inverse Problem in Quantitative Susceptibility Mapping

* iPiano: Inertial Proximal Algorithm for Nonconvex Optimization

* Landmark- and Intensity-Based Registration with Large Deformations via Quasi-conformal Maps

* Left-Invariant Riemannian Geodesics on Spatial Transformation Groups

* Linearized Bregman Method via Split Feasibility Problems: Analysis and Generalizations, The

* Measure-Theoretic Variational Bayesian Algorithm for Large Dimensional Problems, A

* Modeling and Estimation of Shape Deformation for Topology-Preserving Object Tracking

* Multiscale Analysis for Images on Riemannian Manifolds

* Near Field Photometric Stereo with Point Light Sources

* Near-Field Imaging of Infinite Rough Surfaces in Dielectric Media

* New Convex Optimization Model for Multiplicative Noise and Blur Removal, A

* New Detail-Preserving Regularization Scheme, A

* New Spherical Mixture Model for Head Detection in Depth Images, A

* NMF with Sparse Regularizations in Transformed Domains

* Nonlocal Variational Formulation for the Improvement of Tone Mapped Images, A

* Nonlocal Variational Model for Pansharpening Image Fusion, A

* Numerical Analysis of the Topological Gradient Method for Fourth Order Models and Applications to the Detection of Fine Structures in Imaging

* Numerical Implementation of Geodesic X-Ray Transforms and Their Inversion

* Numerical Reconstruction of Electromagnetic Inclusions in Three Dimensions

* On Covariant Derivatives and Their Applications to Image Regularization

* On Infimal Convolution of TV-Type Functionals and Applications to Video and Image Reconstruction

* On Stable Reconstructions from Nonuniform Fourier Measurements

* On the Convergence of Primal-Dual Hybrid Gradient Algorithm

* On Time Reversal in Photoacoustic Tomography for Tissue Similar to Water

* Optimal Transport with Proximal Splitting

* Partially Blind Deblurring of Barcode from Out-of-Focus Blur

* Phase Retrieval with Polarization

* Primal-Dual Decomposition by Operator Splitting and Applications to Image Deblurring

* Processing Stationary Noise: Model and Parameter Selection in Variational Methods

* Proof of Convergence of the Horn-Schunck Optical Flow Algorithm in Arbitrary Dimension, A

* Quantitative Photoacoustic Tomography with Piecewise Constant Material Parameters

* Regularized Discrete Optimal Transport

* Regularized Generalized Inverse Accelerating Linearized Alternating Minimization Algorithm for Frame-Based Poissonian Image Deblurring

* Relaxed Problem of Registration Based on the Saint Venant-Kirchhoff Material Stored Energy for the Mapping of Mouse Brain Gene Expression Data to a Neuroanatomical Mouse Atlas, A

* Resolution-Controlled Conductivity Discretization in Electrical Impedance Tomography

* Reweighted and Adaptive Morphology Separation

* Robust Image Reconstruction from Multiview Measurements

* Role of Scattering in Virtual Source Array Imaging

* Screened Poisson Hyperfields for Shape Coding

* Second Order Differences of Cyclic Data and Applications in Variational Denoising

* Self-Similar Prior and Wavelet Bases for Hidden Incompressible Turbulent Motion

* Series Expansions of the Reconstruction Kernel of the Radon Transform over a Cormack-Type Family of Curves with Applications in Tomography

* Shape Identification and Classification in Echolocation

* Simultaneous High Dynamic Range and Superresolution Imaging without Regularization

* Single Image Dehazing and Denoising: A Fast Variational Approach

* Solving 2D Fredholm Integral from Incomplete Measurements Using Compressive Sensing

* Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets

* Space Variant Blind Image Restoration

* Statistical Shape Analysis of Neuroanatomical Structures via Level-Set-based Shape Morphing

* Stein Unbiased GrAdient estimator of the Risk (SUGAR) for Multiple Parameter Selection

* Stochastic Algorithm Based on Fast Marching for Automatic Capacitance Extraction in Non-Manhattan Geometries, A

* Successive Nonnegative Projection Algorithm for Robust Nonnegative Blind Source Separation

* Synthesizing and Mixing Stationary Gaussian Texture Models

* Teichmuller Mapping (T-Map) and Its Applications to Landmark Matching Registration

* Tensor Product Complex Tight Framelets with Increasing Directionality

* Total Variation Regularization for Manifold-Valued Data

* Total Variation Spectral Framework for Scale and Texture Analysis, A

* Two-Stage Image Segmentation Method for Blurry Images with Poisson or Multiplicative Gamma Noise, A

* Variable Density Sampling with Continuous Trajectories

* Variational Approach for Image Decolorization by Variance Maximization, A

* Video Inpainting of Complex Scenes

* Weak*-Convergence to Minimum Energy Measure and Dispersed-Dot Halftoning

99 for SIIMS(7)

*SIIMS(8)*
* Accelerated Linearized Alternating Direction Method of Multipliers, An

* Alternating Minimization Algorithm with Automatic Relevance Determination for Transmission Tomography under Poisson Noise

* Analysis and Application of a Nonlocal Hessian

* Analysis of the Magnetoacoustic Tomography with Magnetic Induction

* Banach-Like Distances and Metric Spaces of Compact Sets

* Bayesian Approach to Sparse Model Selection in Statistical Shape Models, A

* Bayesian Mixed Effect Atlas Estimation with a Diffeomorphic Deformation Model

* Boosting of Image Denoising Algorithms

* Coherence Enhancing Penalty for Diffusion MRI: Regularizing Property and Discrete Approximation, A

* Compressive Imaging and Characterization of Sparse Light Deflection Maps

* Continuous Exact L_0 Penalty (CEL0) for Least Squares Regularized Problem, A

* Convergence Rate of Overlapping Domain Decomposition Methods for the Rudin-Osher-Fatemi Model Based on a Dual Formulation

* Convex Approach for Image Restoration with Exact Poisson-Gaussian Likelihood, A

* Convex Cardinal Shape Composition

* Covariance Matrix Estimation for the Cryo-EM Heterogeneity Problem

* Detection of Long Edges on a Computational Budget: A Sublinear Approach

* Diffeomorphic Density Matching by Optimal Information Transport

* Discrete Conformal Deformation: Algorithm and Experiments

* Displacement Reconstructions in Ultrasound Elastography

* Dual-Domain Filtering

* Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to Magnetic Resonance Imaging

* Enhanced Variational Image Dehazing

* Enhancing Pure-Pixel Identification Performance via Preconditioning

* Entropic Approximation of Wasserstein Gradient Flows

* Estimation of the Noise Level Function Based on a Nonparametric Detection of Homogeneous Image Regions

* FLASH: Fast Landmark Aligned Spherical Harmonic Parameterization for Genus-0 Closed Brain Surfaces

* Fractional Inpainting Model Based on the Vector-Valued Cahn-Hilliard Equation, A

* Generic Half-Quadratic Optimization for Image Reconstruction

* Geometric Expansion for Local Feature Analysis and Matching

* Global Approach for Solving Edge-Matching Puzzles, A

* Illumination Strategies for Intensity-Only Imaging

* Imaging of Buried Objects from Experimental Backscattering Time-Dependent Measurements Using a Globally Convergent Inverse Algorithm

* Improved Fast Iterative Shrinkage Thresholding Algorithm for Image Deblurring, An

* Indicator Functions for Shape Reconstruction Related to the Linear Sampling Method

* Inertial Proximal ADMM for Linearly Constrained Separable Convex Optimization

* Inexact Newton-Krylov Algorithm for Constrained Diffeomorphic Image Registration, An

* Interior Tomography Using 1D Generalized Total Variation. Part I: Mathematical Foundation

* Interior Tomography Using 1D Generalized Total Variation. Part II: Multiscale Implementation

* Inverse Obstacle Scattering in Two Dimensions with Multiple Frequency Data and Multiple Angles of Incidence

* Invertibility and Estimation of Two-Parameter Polynomial and Division Lens Distortion Models

* Is Repeatability an Unbiased Criterion for Ranking Feature Detectors?

* Joint Segmentation/Registration Model by Shape Alignment via Weighted Total Variation Minimization and Nonlinear Elasticity

* Kalman Filtering Perspective for Multiatlas Segmentation, A

* Lifting for Blind Deconvolution in Random Mask Imaging: Identifiability and Convex Relaxation

* Limiting Aspects of Nonconvex TV-phi Models

* Linear Multiscale Analysis of Similarities between Images on Riemannian Manifolds: Practical Formula and Affine Covariant Metrics

* Linearly Constrained Non-Lipschitz Optimization for Image Restoration

* Luminance-Chrominance Model for Image Colorization

* Mathematical Model for SAR Imaging beyond the First Born Approximation, A

* Measuring the Noise of Digital Imaging Sensors by Stacking Raw Images Affected by Vibrations and Illumination Flickering

* Modelling the Effect of Focusing Detectors in Photoacoustic Sectional Imaging

* Multifrequency Impedance Imaging with Multiple Signal Classification

* Multiscale Reverse-Time-Migration-Type Imaging Using the Dyadic Parabolic Decomposition of Phase Space

* New Augmented Lagrangian Approach for L^1-mean Curvature Image Denoising, A

* Non-Local Retinex: A Unifying Framework and Beyond

* On Convex Finite-Dimensional Variational Methods in Imaging Sciences and Hamilton-Jacobi Equations

* On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex Optimization in Computer Vision

* On the Bertozzi-Esedoglu-Gillette-Cahn-Hilliard Equation with Logarithmic Nonlinear Terms

* On the Optimality of Shape and Data Representation in the Spectral Domain

* On the p-Laplacian and inf-Laplacian on Graphs with Applications in Image and Data Processing

* On the Role of Total Variation in Compressed Sensing

* Optical Flow on Moving Manifolds

* Passive Synthetic Aperture Imaging

* PDE Approach to Data-Driven Sub-Riemannian Geodesics in SE(2), A

* Penalization-Regularization-Operator Splitting Method for Eikonal Based Traveltime Tomography, A

* Preconditioning of a Generalized Forward-Backward Splitting and Application to Optimization on Graphs

* Primal-Dual Hybrid Gradient Method for Semiconvex Splittings, The

* Process of Data Formation for the Spectrometer/Telescope for Imaging X-rays (STIX) in Solar Orbiter, The

* Proximal Heterogeneous Block Implicit-Explicit Method and Application to Blind Ptychographic Diffraction Imaging

* Proximal Strictly Contractive Peaceman-Rachford Splitting Method for Convex Programming with Applications to Imaging, A

* Recovering a Function from Circular Means or Wave Data on the Boundary of Parabolic Domains

* Reliable Multiscale and Multiwindow Stereo Matching

* Resolution Analysis of Imaging with L_1 Optimization

* Robust Geometry Estimation Using the Generalized Voronoi Covariance Measure

* Scale Invariant Metrics of Volumetric Datasets

* Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements

* Signal to Noise Ratio Analysis in Virtual Source Array Imaging

* Simultaneous Cartoon and Texture Image Restoration with Higher-Order Regularization

* Space-Time Regularization for Video Decompression

* Sparse Wavelet Representations of Spatially Varying Blurring Operators

* Sparsity Based Methods for Overparameterized Variational Problems

* Stability and Resolution Analysis of Topological Derivative Based Localization of Small Electromagnetic Inclusions

* Stable Camera Motion Estimation Using Convex Programming

* Steerable PCA for Rotation-Invariant Image Recognition

* Structure Tensor Total Variation

* Synthetic Aperture Inversion for Statistically Nonstationary Target and Clutter Scenes

* Synthetic Aperture Radar Correlation Imaging

* TGV-Based Framework for Variational Image Decompression, Zooming, and Reconstruction. Part I: Analytics, A

* TGV-Based Framework for Variational Image Decompression, Zooming, and Reconstruction. Part II: Numerics, A

* Time Dependent Variational Approach to Image Restoration, A

* Time Discrete Geodesic Paths in the Space of Images

* Total Fractional-Order Variation Model for Image Restoration with Nonhomogeneous Boundary Conditions and Its Numerical Solution, A

* Variational Approach for Restoring Blurred Images with Cauchy Noise

* Variational Model with Barrier Functionals for Retinex, A

* Video Compressive Sensing for Spatial Multiplexing Cameras Using Motion-Flow Models

* Wavelet Statistics of Sparse and Self-Similar Images

* Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing, A

97 for SIIMS(8)

*SIIMS(9)*
* Adaptive Correction Approach for Tensor Completion, An

* Adaptive Directional Haar Framelet-Based Reconstruction Algorithm for Parallel Magnetic Resonance Imaging, An

* Aspherical Lens Design and Imaging

* Asymptotic Performance of Global Denoising

* Bayesian Nonparametric Model Coupled with a Markov Random Field for Change Detection in Heterogeneous Remote Sensing Images, A

* Coherent Imaging without Phases

* Collaborative Total Variation: A General Framework for Vectorial TV Models

* Concise Parametrization of Affine Transformation, A

* Constrained H^1-Regularization Schemes for Diffeomorphic Image Registration

* Continuous Exact L_0 Penalty (CEL0) for Least Squares Regularized Problem, A

* Convergence Study on the Symmetric Version of ADMM with Larger Step Sizes

* CT Image Reconstruction by Spatial-Radon Domain Data-Driven Tight Frame Regularization

* D-Bar Algorithm with A Priori Information for 2-Dimensional Electrical Impedance Tomography, A

* Detectable Singularities from Dynamic Radon Data

* Diffeomorphic Surface Registration with Atrophy Constraints

* Differentiable Piecewise-Bézier Surfaces on Riemannian Manifolds

* Digital Affine Shear Transforms: Fast Realization and Applications in Image/Video Processing

* Direct Imaging Method for Electromagnetic Scattering Data without Phase Information, A

* Direct, Nonlinear Inversion Algorithm for Hyperbolic Problems via Projection-Based Model Reduction

* Dissipative Time Reversal Technique for Photoacoustic Tomography in a Cavity, A

* Efficient Algorithm for Video Superresolution Based on a Sequential Model, An

* Efficient Inclusion of Total Variation Type Priors in Quantitative Photoacoustic Tomography

* Exact Inversion of the Cone Transform Arising in an Application of a Compton Camera Consisting of Line Detectors

* Fast Algorithms and Efficient GPU Implementations for the Radon Transform and the Back-Projection Operator Represented as Convolution Operators

* Fast Phase Retrieval from Local Correlation Measurements

* Fast Relaxed Normal Two Split Method and an Effective Weighted TV Approach for Euler's Elastica Image Inpainting, A

* Fiber Orientation Distribution Estimation Using a Peaceman-Rachford Splitting Method

* Geodesics on Shape Spaces with Bounded Variation and Sobolev Metrics

* Hybrid Segmentation and D-Bar Method for Electrical Impedance Tomography, A

* Image Reconstruction in Quantitative Susceptibility Mapping

* Imaging with Power Controlled Source Pairs

* Inertial Proximal Alternating Linearized Minimization (iPALM) for Nonconvex and Nonsmooth Problems

* Influence of Unknown Exterior Samples on Interpolated Values for Band-Limited Images

* Kernel Metrics on Normal Cycles and Application to Curve Matching

* Linearized Inverse Problem in Multifrequency Electrical Impedance Tomography, The

* Local Linear Convergence of the ADMM/Douglas-Rachford Algorithms without Strong Convexity and Application to Statistical Imaging

* MAGMA: Multilevel Accelerated Gradient Mirror Descent Algorithm for Large-Scale Convex Composite Minimization

* Mathematical Design of a Novel Gesture-Based Instruction/Input Device Using Wave Detection

* Method of Reduction of Artifacts of Quantitative Susceptibility Mapping, A

* Modulus Methods for Nonnegatively Constrained Image Restoration

* Multicontrast MRI Reconstruction with Structure-Guided Total Variation

* Multiresolution Parameter Choice Method for Total Variation Regularized Tomography

* New Algorithm Framework for Image Inpainting in Transform Domain, A

* New Approach for Robust Segmentation of the Noisy or Textured Images, A

* Noninvasive Imaging of Three-Dimensional Micro and Nanostructures by Topological Methods

* Note on the Size of Denoising Neural Networks, A

* Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples

* On the Continuous Steering of the Scale of Tight Wavelet Frames

* On the Generation of Sampling Schemes for Magnetic Resonance Imaging

* Optimization-Based Approach for Joint X-Ray Fluorescence and Transmission Tomographic Inversion

* Parallel Douglas-Rachford Algorithm for Minimizing ROF-like Functionals on Images with Values in Symmetric Hadamard Manifolds, A

* Patch Ordering as a Regularization for Inverse Problems in Image Processing

* Poisson Noise Reduction with Higher-Order Natural Image Prior Model

* Registration of Multiple Shapes using Constrained Optimal Control

* Removing Cradle Artifacts in X-Ray Images of Paintings

* Robust Surface Reconstruction

* Single-Lobe Photometric Stereo Approach for Heterogeneous Material, A

* Smoothed Dual Approach for Variational Wasserstein Problems, A

* Sparsity and Nullity: Paradigms for Analysis Dictionary Learning

* Spectral Decompositions Using One-Homogeneous Functionals

* Spectral Synchronization of Multiple Views in SE(3)

* Spherical Conformal Parameterization of Genus-0 Point Clouds for Meshing

* Sub-Riemannian Mean Curvature Flow for Image Processing

* Super-Resolution of Positive Sources: The Discrete Setup

* Superresolution from a Single Noisy Image by the Median Filter Transform

* Synchronization of Independently Moving Cameras via Motion Recovery

* Synthetic Aperture Imaging of Direction- and Frequency-Dependent Reflectivities

* TEMPO: Feature-Endowed Teichmüller Extremal Mappings of Point Clouds

* Theory of Optimal Flutter Shutter for Probabilistic Velocity Models, A

* Three-Dimensional Image Reconstruction from Compton Camera Data

* Total Variation on a Tree

* Wasserstein Loss for Image Synthesis and Restoration

* Wavelet Frame Method with Shape Prior for Ultrasound Video Segmentation, A

73 for SIIMS(9)

Last update:10-Apr-24 10:46:22

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