Journals starting with sii

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
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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.
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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
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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
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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
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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
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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
* Approximating the Weil-Petersson Metric Geodesics on the Universal Teichmüller Space by Singular Solutions
* 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
* 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
* 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
* 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
* 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 Strong Localized Scatterers with Sparsity Promoting Optimization
* 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
* Left-Invariant Riemannian Geodesics on Spatial Transformation Groups
* Linearized Bregman Method via Split Feasibility Problems: Analysis and Generalizations, The
* Modeling and Estimation of Shape Deformation for Topology-Preserving Object Tracking
* Multiscale Analysis for Images on Riemannian Manifolds
* 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
* Nonlocal Variational Model for Pansharpening Image Fusion, A
* Numerical Implementation of Geodesic X-Ray Transforms and Their Inversion
* Numerical Reconstruction of Electromagnetic Inclusions in Three Dimensions
* On Stable Reconstructions from Nonuniform Fourier Measurements
* 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
* Robust Image Reconstruction from Multiview Measurements
* Role of Scattering in Virtual Source Array Imaging
* 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
* Statistical Shape Analysis of Neuroanatomical Structures via Level-Set-based Shape Morphing
* 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
* Two-Stage Image Segmentation Method for Blurry Images with Poisson or Multiplicative Gamma Noise, A
* Variational Approach for Image Decolorization by Variance Maximization, A
* Weak*-Convergence to Minimum Energy Measure and Dispersed-Dot Halftoning
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