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(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
* Convergence Analysis of Primal-Dual Algorithms for a Saddle-Point Problem: From Contraction Perspective
* Dictionary Learning for Noisy and Incomplete Hyperspectral Images
* Edge Detection Filter based on Mumford-Shah Green Function
* Fast Algorithms for Image Reconstruction with Application to Partially Parallel MR Imaging
* Image Denoising Using Mean Curvature of Image Surface
* 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
* One Shot Inverse Scattering via Rational Approximation
* Perspective Shape from Shading: Ambiguity Analysis and Numerical Approximations
* 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
* Sobolev Gradients and Image Interpolation
* Variational Approach for Sharpening High Dimensional Images, A
19 for SIIMS(5)