SIAM Conference on IMAGING SCIENCE (SIAM-IS14)

How to Trade Signal Sparsity for Outlier Resistance in Convex Reconstruction from Linear Measurements
Said Ladjal
Simultaneous HDR Image Reconstruction and Denoising for Dynamic Scenes
Pablo Musé
Color Transfer Between Close Views of the Same Scene
Stacey Levine
Disparity-Guided Demosaicing for Plenoptic Images
Neus Sabater
Co-Design of a Chromatic 3D Camera
Pauline Trouvé
Optical Matrix Probing for Photography and Videography
Kyros Kutulankos
Adaptive Sensing and Reconstruction Techniques for CS-Video Applications
Xin Yuan
Foreground and Background Reconstruction in High-Speed Photon-Limited Motion Imagery
Rebecca Willett

Universal Inversion Formulas for Recovering a Function from Spherical Means
Markus Haltmeier
Modelling Quantitative Photoacoustic Sectional Imaging
Peter Elbau
Efficient Reconstruction Algorithms for Inverse Problems in Quantitative Photoacoustic Imaging
Kui Ren
Bayesian Image Reconstruction in Quantitative Photoacoustic Tomography
Tanja Tarvainen
Algebraic Image Reconstruction in Combined Space for Photoacoustic Tomography
Amir Rosenthal
Photoacoustic Tomography Image Reconstruction in Heterogeneous Media
Mark Anastasio
Compressed Sensing for High Resolution 3D Photoacoustic Tomography Using Data Sparsity
Marta Betcke

Structural Priors for Multimodality Optical Tomography
Ville Kolehmainen
Parallel Level Set Prior for Joint PET/MRI Reconstruction
Matthias Ehrhardt
Structural Priors for Emission Tomography Reconstruction: Benefits and Risks
Kathleen Vunckx
Hidden States of Function and Anatomy
Stefano Pedemonte

Nonlinear Magnetic Resonance Velocity Imaging
Martin Benning
Structural Health Monitoring in Anisotropic, Elastic Plates from Partial Boundary Measurements
Julia Piontkowski
Partially Blind Deblurring of Barcode from Out-of-Focus Blur
Yifei Lou
Depth from Defocus
Michael Möller

Ground States and Singular Values for TV and L1-Type Models
Martin Burger
Fast Solvers for Non-Convex Edge-Preserving/Sparsifying TVq-Regularizations, q in (0,1), and Issues with Variable Splitting Approaches in TV(=TV1)- Regularization
Michael Hintermüller
Optimization Methods for Total Generalized Variation Regularization
Kristian Bredies
Aspects of the Total Generalised Variation (TGV) Minimisation Problem
Konstantinos Papafitsoros
Exact Support Recovery for Sparse Spikes Deconvolution
Gabriel Peyré
Edge-Preserving Electrical Impedance Tomography
Samuli Siltanen
K-edge Imaging - X-ray CT Goes Functional
Alex Sawatzky
Image Reconstruction in Fluorescence Diffuse Optical Tomography Using Patch-Based Anisotropic Diffusion Regularisation
Teresa Correira

Infimal-Convolution of Total-Variation-Type Functionals as Regularization for Video Reconstruction
Martin Holler
Robust Video Restoration by Joint Sparse and Low Rank Matrix Approximation
Hui Ji
Non-Local Total Generalized Variation for Motion and Stereo Estimation
René Ranftl
Variational Approaches for Image Sequence Analysis and Reconstruction
Stephen Keeling

Sparsity in Fluids - Vorticity Estimation via Compressive Sensing
Andrea Bertozzi
Improved Accuracy and Speed in Scanning Probe Microscopy by Image Reconstruction from Non-gridded Position Sensor Data
Travis Meyer
Image Interpolation with Optimal Transport
Nicolas Papadakis
Spatio-temporal Optical Flow on Evolving Surfaces
Clemens Kirisits
TGV-Based Flow Estimation for 4D Cell Migration
Lena Frerking
Nonlocal Crime Density Estimation Incorporating Housing Information
Joseph Woodworth
A Nonlinear Variational Approach to Motion-Corrected Reconstruction of Density Images
Sebastian Suhr
Joint Surface Reconstruction and 4-D Deformation Estimation from Sparse Data and Prior Knowledge for Marker-Less Respiratory Motion Tracking
Benjamin Berkels

Properties of the Solutions of the Total Variation Minimization Problem
Antonin Chambolle
Metamorphosis and Discrete Geometry in the Space of Images
Martin Rumpf
Geodesic Active Contours: An Axiomatic Variational Geometric Approach
Ron Kimmel
Virtual Physiological Imaging: From Imaging to Models and Back
Alejandro F. Frangi
Variational Methods for Virtual Soccer Game Replays
Nicolas Papadakis
Multiscale Analyses of Images Defined on Riemannian Manifolds and of Similarities between Images on Riemannian Manifolds
Felipe Calderero
A Variational Perspective on Perceptually-Inspired Color and Contrast Enhancement
Edoardo Provenzi
A Variational Framework for Exemplar-Based Image Inpainting
Pablo Arias

A Convex Formulation for Global Histogram Based Binary Segmentation
Jean-François Aujol
Sliced Wasserstein Distance for Histograms Matching
Julien Rabin
Histogram Specification of Color Images Using a Variational Framework
Youwei Wen
Two Stage Image Segmentation and Histogram Clustering
Tieyong Zeng

Generalized Impedance Boundary Conditions and There Use in the Inverse Electromagnetic Obstacle Problem
Nicolas Chaulet
Biosensing with Surface Plasmon Resonances
Faouzi Triki
Acoustic Inverse Scattering Using Topological Derivative of Far-Field Measurements-Based L2 Cost Functionals
Cédric Bellis
Non-Destructive Eddy Current Inspection of Highly Conductive Thin Layer Deposits via Asymptotic Models
Zexian Jiang
The Vanishing Conductivity Limit in Eddy Current Imaging
Bastian Harrach

High-Order Geometrical Variational and PDE Methods for Noise Removal
Bibo Lu
Analysis and Design of Fast Graph Based Algorithms for High Dimensional Data
Andrea Bertozzi
Image Denoising Using LLT Model and Iterated Total Variation Refinement
Fenlin Yang
Limiting Aspects of Non-Convex Regularisation Models
Tuomo Valkonen
Image Denoising Using the Gaussian Curvature of the Image Surface
Carlos Brito-Loeza
Shape from Shading Using Mean Curvature
Wei Zhu
Surface Map Optimization Using Beltrami Holomorphic Flow
Ronald Lui
A Forward-backward Model for Image Restoration
Patrick Guidotti
A Non-Local Formulation for Higher-Order Total Variation-Based Regularization
Jan Lellmann
Regularization Parameter Estimation in L2 and L1 Total Variation Color Image Deblurring
Elena Loli Piccolomini
Nonlinear Analysis of Population of Textured Manifolds with F-Shape Spaces and Varifolds
Nicolas Charon

Fast Nonstationary Preconditioned Iterative Methods for Ill-Posed Problems with, Application to Image Deblurring
Marco Donatelli
Semi-Convergence of Kaczmarz's Method
Per Christian Hansen
Dual-Scale Masks for Spatio-Temporal Compressive Imaging
Roummel F. Marcia
Reduction Methods for Matrix Pairs with Application to Image Restoration
Lothar Reichel
A Variational Method for Expanding the Bit-Depth of Low Contrast Images
Motong Qiao
Variational Image Restoration with Auto-Correlation Whiteness Penalties
Fiorella Sgallari
Iterative Reconstructors for Adaptive Optics
Mykhaylo Yudytskiy
Image Restoration with Poisson-Gaussian Mixed Noise
Alessandro Lanza

Estimating Dynamic Graphical Models for fMRI Data
Ivor Cribben
Functional Magnetic Resonance Imaging Analysis in a Study of Alzheimer's Diseases
Jimin Ding
Sparse Estimation in Partial Functional Linear Regression Model for Hyper-Acute Ischemic Stroke Study
Linglong Kong
A Semi-Parametric Nonlinear Model for Event-Related fMRI
Tingting Zhang

An Adaptive Shape Reconstruction Algorithm for Inverse Problems
Günay Doğan
A Convex Approach to Sparse Shape Composition
Alireza Aghasi
Robust Principal Component Pursuit via Alternating Minimization on Matrix Manifolds
Tao Wu
Computational Metric Geometry in the Natural Space
Ron Kimmel
Affine-Invariant Shape Models for Contours and Their Discoveries in Images
Anuj Srivastava
A Discrete Geodesic Calculus for Shape Space Applications
Benedikt Wirth
Smooth or Singular Metamorphoses for Images and Measures
Laurent Younes
Shape and Topology Optimization Methods for Inverse Problems
Antoine Laurain

Solving DC Programs that Promote Group 1-Sparsity
Ernie Esser
Compressed Modes for Variational Problems in Math and Physics
Rongjie Lai
Alternating Direction Methods for Classical and Ptychographic Phase Retrieval
Zaiwen Wen
Total Variation Structured Total Least Squares Method for Image Restoration
Xile Zhao

Observing the Earth in 3D with Pleiades-HR
Jean-Marc Delvit
Fusion of Kinect Depth with Trifocal Disparity Estimation for Fast High Quality Depth Maps
Neus Sabater
How Much Further Can We Go in Two-Frame Stereo?
Kuk-Jin Yoon
On the Performance of Local Methods for Stereovision
Gabriele Facciolo

An Overview of Mathematical Techniques for Blood Vessel Detection
Gareth Funka-Lea
Tubular Structure Detection for MR Angiographic Image Analysis
Albert C. S. Chung
Automated Reconstruction of Curvilinear Networks from 2D and 3D Imagery
Engin Türetken
Reproducible Interactive Correction of Blood Vessels
Leo Grady
Geodesic Method for Blood Vessels and Tree Structure Segmentation
Laurent Cohen
Mathematical Morphology for Thin Object Detections
Laurent Najman
Airway Tree-Shape Modeling Through Large-Scale Tree-Space Statistics
Aasa Feragen
Discrete Optimization of Eulers Elastica with Application to Vessel Segmentation
Noha Youssry El-Zehiry

Inverse Problems in Spaces of Measures
Kristian Bredies
Super-Resolution from Noisy Data
Carlos Fernandez-Granda
Exact Support Recovery for Sparse Spikes Deconvolution
Vincent Duval
Beyond Incoherence and Beyond Sparsity: Compressed Sensing in the Real World
Ben Adcock
The MUSIC Algorithm for Well-Separated Objects: A Sensitivity Analysis
Wenjing Liao
Sparse and Cosparse Tomographic Recovery from Few Projections
Stefania Petra

Medium Induced Resolution Enhancement for Broadband Imaging
Knut Sølna
Selective Imaging of Extended Reflectors in Waveguides
Chrysoula Tsogka
Shape Identification and Classification in Echolocation
Han Wang
Correlation-Based Imaging in Random Media in the Paraxial Regime
Josselin Garnier
Elastic-wave Tomography and Inverse Scattering with Passive Sources
Maarten de Hoop
Wave Luminescence Imaging
Kui Ren

Sparsity based Poisson Denoising with Dictionary Learning
Raja Giryes
Estimation of Mixed Poisson-Gaussian Noise Parameters via Variance Stabilization
Alessandro Foi
Adaptive Parameter Selection for Local and Non-Local Poisson Noise Filtering
Charles Deledalle
First-Photon Imaging: Imaging by Estimation of Parametric Poisson Processes
Vivek K Goyal

Texture Aware Video Inpainting
Yann Gousseau
Diminished Reality by Correction of Perspective and Color with Image Inpainting
Norihiko Kawai
A Variational Model for Gradient-Based Video Editing
Rida Sadek
The Controversial Story of Sparse Inpainting in Astronomy
Jean-Luc Stark

A New Detail-Preserving Regularity Scheme
Weihong Guo
Variational Approaches for Phase Image Processing with Applications in MRI
Kristian Bredies
Convex Image Segmentation with Generalized Partition Functions and Connections to Continuous Max-Flow
Egil Bae
Joint Multi-Shot Multi-Channel Image Reconstruction in Compressive Diffusion Weighted MR Imaging
Hao Zhang
Variational Image Reconstruction Using Composite Wavelets
Benjamin Manning
α-Molecules: Wavelets, Shearlets, and Beyond
Gitta Kutynoik
Compressive Support Detection Based on Multiple Hypothesis Testing
Yi Wang
Empirical Wavelet Transforms
Jérôme Gilles

Generalized Row-Action Methods for Tomographic Imaging
Martin Skovgaard Andersen
Sparse X-Ray Tomography Using a Besov Prior
Ville Kolehmainen
The Trade-Off Between Number of Projections and X-Ray Intensity for Sparsity-Exploiting Image Reconstruction in Computed Tomography
Emil Sidky
PET Reconstruction from Short-Time Data via GTV-Bregman
Martin Burger

Fast Hue and Range Preserving Histogram Specification: New Algorithms, Theory and Applications
Mila Nikolova
White Balance in Cinema
Marcelo Bertalmío
A Variational Histogram Equalization Method for Image Contrast Enhancement
Wei Wang
A Wavelet-Based Framework for Perceptually-Inspired Color Enhancement
Edoardo Provenzi
Color Contrast Enhancement: Some Classical and Some New Methods
Ana Belen Petro Balaguer
The Color of Texture - Analysis based on the Total-Variation Transform
Guy Gilboa
Color Image Contrast Enhancement: 3-D Color Histogram Equalization Method
Sejung Yang
Exemplar-Based Image Colorization Using RGB
Jean-François Aujol

A New Pre-reconstruction Iterative Algorithm for Dual-Energy Computed Tomography
Kiwan Jeon
A Binary Metal Image Reconstruction Based on the Lambda Tomography in CT
Hyoung Suk Park
Inverse Problem on Quantitative Susceptivility Mapping (QSM)
Jae Kyu Choi
Vortex Flow Imaging Technique Using Echocardiography
Chi Young Ahn

A Shearlet Scheme for Optimal Magnetic Resonance Imaging
Gitta Kutyniok
Optimal Sampling Strategies for Compressed Sensing in MRI
Anders Hansen
Stable and Robust Sampling Strategies for Compressive Imaging
Felix Krahmer
Video Compressive Sensing for Dynamic MRI
Wotao Yin

Adjoint State Method for the Recovery of Both the Source and the Attenuation in the Attenuated X-Ray Transform
Songting Luo
Locating Multiscale Scatterers by A Single Far-field Pattern
Hongyu Liu
Fast Matrix-Free Direct Solvers for Seismic Imaging Problems
Jianlin Xai
Efficient Numerical Method for Helmholtz Equation with High Wave Number and its Application in Seismic Imaging Problem
Wenyuan Liao
Eulerian Methods for Schrödinger Equations in the Semi-Classical Regime
Shingyu Leung
Adaptive Phase Space Method for Traveltime Tomography
Eric Chung
Long-Time Stability and Convergence of the Uniaxial Perfectly Matched Layer Method for Time-Domain Acoustic Scattering Problems
Xinming Wu
Joint Transmission and Reflection Traveltime Tomography for Reflector in Inhomogeneous Media Using First Arrivals
Wenbin Li

Denoising an Image by Denoising its Curvature
Marcelo Bertalmío
A Spatially Consistent Collaborative Filtering
Alessandro Foi
On the Internal vs. External Statistics of Image Patches, and its Implications on Image Denoising
Maria Zontak
On Covariant Derivatives and Their Applications to Image Regularization
Thomas Batard

A One-Step Reconstruction Algorithm for Quantitative Photoacoustic Imaging
Sarah Vallelian
Near-Field Imaging of Acoustic Obstacles with the Factorization Method
Bo Zhang
Optical Tomography in Weakly Scattering Media
Simon Arridge
Reconstruction of Sources with Small Supports from a Single Cauchy Data and Application
Abdellatif El Badia
Detection and Classification from Electromagnetic Induction Data
Junqing Chen
One-shot Imaging Methods in Inverse Elastic Scattering
Jingzhi Li
Near-Field Imaging of Rough Surfaces
Peijun Li
On the Transmission Eigenvalue Problem Arising in Inverse Scattering Problem
Jijun Liu
Multiscale Analysis for Ill-Posed Problem with Support Vector Approach
Shuai Lu
A Model Reduction Approach to Numerical Inversion for Parabolic Partial Differential Equations in One and Higher Dimensions
Alexander Mamonov
Regularized Acoustic and Electromagnetic Cloaking
Hongyu Liu
Inverse Scattering Problems with Impedance Boundary Conditions
Haibing Wang

Rates of Convergence and Restarting Strategies
Antonin Chambolle
Adaptive Methods for Large Scale Optimization
Tom Goldstein
A Generalization of the Chambolle-Pock Algorithm to Banach Spaces with Application to Inverse Problems
Carolin Homann
The Linearized Bregman Method via Split Feasibility Problems
Dirk Lorenz
A Primal-Dual Approach for Solving Optimization Problems Based on Information Measures
Mireille El Gheche
An Inertial Forward-Backward Algorithm for Solving Monotone Inclusions
Thomas Pock
Extending the Method of Chambolle and Pock to Non-Linear Operators
Tuomo Valkonen
Convergence Analysis of Accelerated Forward-Backward Algorithm with Errors
Silvia Villa

Fundamental Geometric Processing
Gabriel Taubin
Modeling Disease in the Human Brain with Geometry and Imaging
Monica Hurdal
Euler's Elastica For Image Restoration And Segmentation And Fast Algorithms
Xue Cheng Tai
A New Iterative Algorithm for Mean Curvature-Based Variational Image Denoising
Li Sun
New Developments in Levelset Based Image Segmentation and Art Pattern Synthesis
Yizhou Yu
A Discrete Uniformization Theorem for Polyhedral Surfaces
Jian Sun
Computing of Laplace-Beltrami Spectrum Via Conformal Deformation and Applications
Rongjie Lai
Ricci Flow for Shape Analysis and Surface Registration
Wei Zeng
Quasiconformal Surface Map Optimization for Uniformization with Arbitrary Topologies
Tsz Wai Wong
Saddle Vertex Graph (SVG): A Novel Solution to the Discrete Geodesic Problem
Ying He

The Proximal Heterogeneous Block Implicit-Explicit Method: Application to Ptychogrpahy
Russell Luke
A Sparse Kaczmarz Solver Based on the Linearized Bregman Method
Dirk Lorenz
Stable Recovery with Gauge Regularization
Jalal Fadili
Composite Self-Concordant Minimization
Quoc Tran Dinh
Solution of the Regularized Structured Total Least Squares Problem by an Alternating Proximal-Based Method with an Application to Blind Image Deblurring
Shoham Sabach
Proximal Alternating Linearized Minimization for Semi-algebraic Problems
Jérôme Bolte
Possible Equivalence Between the Optimal Solutions of Least Squares Regularized by L0 Norm and Penalized by L0 Norm
Mila Nikolova
Local and Global Convergence Results for Affine Sparse Feasibility
Patrick Neumann

Atomic Models of Video Turbulence
Enric Meinhardt-Llopis
Independent Components in Dynamic Refraction
Marina Alterman
Video Restoration of Turbulence Distortion
Yifei Lou
A Geometric Method for Image Recovery Through Optical Turbulence
Mario Micheli

A Phase Model for Point Spread Function Estimation in Ground-Based Astronomy
Wenxing Zhang
Uniqueness Results for Reconstruction of Imagery Degraded by Atmospheric Turbulence
Brandoch Calef

PCA on Manifolds Accounting for Curvature
Sergey Kushnarev
Surface Shape Matching and Analysis Using Intrinsic Coordinate Parameterizations
Shantanu H. Joshi
Diffeomorphic Models and Centroid Algorithms for Computational Anatomy
Joan Alexis Glaunès
Shape Analysis of Multiply-connected Objects Using Conformal Welding
Lok Ming Lui
Matrix-Valued Kernels for Shape Deformation Analysis
Mario Micheli
Shape Analysis of Cardiac Images
Laurent Younes
Numerical Computation of Geodesics on the Universal Teichmueller Space
Akil Narayan

Functional Maps: A Flexible Representation of Maps Between Shapes
Maks Ovsjanikov
Building and Using Functional Image Networks
Leonidas Guibas
Joint Diagonalization and Closest Commuting Laplacians
Michael Bronstein
An Operator Approach to Tangent Vector Field Processing
Mirela Ben-Chen

Single Image Interpolation via Adaptive Non-local Sparsity-based Modeling
Yaniv Romano
Sparse Image Super-resolution with Nonlocal Autoregressive Modeling
Weisheng Dong
Image Super-resolution in the Sobolev Space
Lei Zhang
Nonparametric Blind Super-Resolution
Tomer Michaeli
A Statistical Prediction Model Based on Sparse Representations for Single Image Super-Resolution
Tomer Peleg
Beta Process Joint Dictionary Learning for Coupled Feature Spaces and its Application to Single Image Super-Resolution
Hairong Qi
The Analysis Model and Super-Resolution
Alex Bronstein

A Multigrid Solver for Hyperelastic Image Registration
Lars Ruthotto
Large-Scale Image Reconstruction with TV Priors
Martin Burger
Large-Scale Image Reconstruction for Quantitative Susceptibility Mapping Applications
Julianne Chung
Designing Optimal Regularized Inverse Matrices for Inverse Problems
Matthias Chung
Preconditioned Splitting for Large-Scale Biomedical Imaging
Christoph Brune
Brain Atlas Creation Using Image Registration and Restoration
Kanglin Chen
Nonlinear Image Registration with Sliding Motion Constraints
Alexander Derksen

Correlation Mining for Imaging Problems
Alfred Hero
Non-Lipschitz L_p-Regularization and Box Constrained Model for Image Restoration
Xiaojun Chen
Discrete Regularisation Approaches Related to Inverse Diffusion
Martin Welk
Blind Denoising
Marc Lebrun
Blind Deblurring with Sharpness Metrics Based on Phase Coherence
Lionel Moisan
Toward Fast Transform Learning
Francois Malgouyres
Perturb-and-MAP Random Fields: Reducing Random Sampling to Optimization with Applications in Computer Vision
George Papandreou
Model Selection with Piecewise Regular Gauges
Gabriel Peyré
Constrained Image Restoration and Estimation of Regularization Parameters
Gabriele Steidl
Meta-Learning for Parameter Choice in Image Denoising
Valeriya Naumova
Fast and Sparse Noise Learning via Nonlinear PDE Constrained Optimization
Luca Calatroni
Bilevel Optimization for Learning Variational Models
Thomas Pock

Robust 1-Bit Compressive Sensing with One-Sided ℓ₀ Function
Lixin Shen
Preconditioned Alternating Projection Algorithms for Maximum a Posteriori ECT Reconstruction
Si Li
Image Inpainting Using ℓ₀ Sparse Regularization in DCT-Induced Wavelet Domain
Xueying Zeng
A Preconditioned Primal-Dual Fixed Point Algorithm for Convex Separable Minimization with Applications to Image Restoration
Jianguo Huang
Limited-Angle CT Reconstruction
Yao Lu
Proximity Algorithms for Multiplicative Noise Removal
Jian Lu
Fixed-Point Proximity Algorithms for Optimization Problems in Image Restoration
Qia Li

The Factorization Method for Three Dimensional EIT
Nicolas Chaulet
Multifrequency EIT Using Spectral Information
Emma Malone
Non-Destructive Testing of Concrete with EIT
Aku Seppänen
Combining Frequency-Difference and Ultrasound-Modulated EIT
Bastian Harrach
Anatomical and Physiological Priors for Absolute EIT Thorax Images
Erick León.
A Novel Data-Driven Edge Sharpening D-bar Reconstruction Algorithm for Electrical Impedance Tomography
Sarah Hamilton
Stochastic Galerkin Finite Element Method for Electrical Impedance Tomography
Nuutti Hyvönen

A Riemanian Framework for Parametric and Nonparametric Spherical Regression
Anuj Srivastava
High-Dimensional Manifold-Valued Data Analysis
Ian Dryden
SS-SPMs: Spatial Smoothing Statistical Parametric Maps for Ultra-High Dimensional Imaging
Hongtu Zhu
Statistical Peak Detection in Images
Armin Schwartzman

First- and Higher-Order Regularisation of Tensor Fields
Tuomo Valkonen
Total Variation Regularization for Functions with Values in a Manifold
Daniel Cremers
Moment Tensors and High Angular Resolution Diffusion Imaging
Lek-Heng Lim

Sparsity in Fluids - Vorticity Estimation via Compressive Sensing
Romain Abraham
State Space Constrained Reconstruction for PET Imaging
Huafeng Liu
Tailoring Advanced Image-Reconstruction Algorithms to Real World Applications
Xiaochuan Pan
High-Order Total Variation Regularization Approach for Axially Symmetric Object Tomography from a Single Radiograph
Suhua Wei

Dense Multi-Frame Optic Flow Using Subspace Constraints: Algorithms and Applications
Anastasios Roussos
Optical Flow Decomposition with Time Regularization
Aniello Raffaele Patrone
Novel Algorithms for Estimating Large-Scale Optical Flow
Daniel Cremers
Modeling Temporal Coherence for Variational Optical Flow
Andrés Bruhn
Real-Time Optical Flow Estimation Using High-Frame-Rate Videos
Idaku Ishii
Recursive Joint Estimation of Dense Scene Structure and Camera Motion
Florian Becker
Semicontinuity and Relaxation of a Variational Functional for Optical Flow
Janusz Ginster
Non-Linear Spatio-Temporal Coherence Models for Optical Flow Estimation
Agustín Salgado

Benchmarking Optimization Algorithms for Phase Retrieval
Stefan M. Wild
Phase Retrieval in High Dimensional Data Space
Stefano Marchesini
Toward Global Optimization for Phase Retrieval
Sven Leyffer
Fourier Phasing with Phase-Uncertain Mask
Wenjing Liao

A Two-Stage Image Segmentation Method Using a Convex Variant of the Mumford-Shah Model and Thresholding
Raymond Chan
Accelerated Primal Dual and ADMM Methods with Applications in Imaging
Yunmei Chen
Sparse Subspace Clustering for Incomplete Face Images
Shiqian Ma
Tomographic Reconstruction of Atmospheric Turbulence from Microlens Imagery
James Nagy
Learning Sparsely Used Dictionaries via Convex Optimization
John Wright
New Sparse Regularization Evolving l1 Subgradient
Wotao Yin
A New Convex Optimization Model for Multiplicative Noise and Blur Removal
Xile Zhao
Efficient Numerical Methods for Inverse Source Problems with Applications in Fluorescence Tomography
Haomin Zhou

Level Set Method for Dynamic Sparse-Data X-Ray Tomography
Samuli Siltanen
Spatio-Temporal TV Priors for Dynamic Inverse Problems in Biomedicine
Christoph Brune
Dynamic SPECT Reconstruction From Few Projections by Spatialtemporal Sparsity Constrained Matrix Factorization
Xiaoqun Zhang
A Novel Method for Real-Time Volumetric Imaging via Sparsity Learning
Xun Jia
Empirical Phase Transitions in Sparsity-regularized Computed Tomography
Jakob Sauer Jørgensen
4D Computed Tomography Reconstruction from Few-Projection Data via Temporal Non-Local Regularization
Yifei Lou
Flow Driven Inpainting and Denoising
Hendrik Dirks

Dynamical CT Image Processing in Radiation Oncology
Xun Jia
Patch-Based Low-Rank and Sparse Penalty for Dynamic Imaging
Jong Chul Ye
Dynamic Shape Estimation under Inconsistent Contrast and Low SNR Conditions
Dan Ruan
Exploring Compressed Sensing Optimization for Total-Variation Based Four-Dimensional Cone-Beam CT
Hua Zhang
A Hybrid 4D Cone Beam CT Reconstruction Algorithm for Highly Under-Sampled Projections from the 1-minute Cone Beam Scan
Xin Zhen
Motion-Compensated Cone-Beam CT for Image-Guided Radiotherapy
Simon Rit
3D/4D Imaging Verification Using Digital Tomosynthesis (DTS)
You Zhang and Lei Ren

Parallel and Distributed Sparse Optimization
Ming Yan
Hydra: Distributed Coordinate Descent for Big Data Problems
Peter Richtárik
Communication-Efficient Algorithms for Distributed Optimization
Jõao Mota
The Decentralized Gradient Descent Method for Multi-Agent Optimization
Qing Ling
Consistency of Early Stopping Regularization in Linearized Bregman Algorithms
Yuan Yao

Adaptive Bregman Operator Splitting Method with Variable Stepsize for Parallel MR Imaging
Maryam Yashtini
Local Rigidity Constrained Diffeomorphic Deformations for Image Analysis
Yan Cao
An Iterative Generalized l1 Greedy Algorithm for CT Image Reconstruction
Jiehua Zhu

Four Color Theorem and Convex Relaxation for Image Segmentation with Any Number of Regions
Xue-Cheng Tai
Multiclass Segmentation by Iterated ROF Thresholding
Xiaohao Cai
Non-Convex Multiple-Objective Image Modeling
Alfred Hero
Restoration of Images Corrupted by Multiplicative Noise
Tieyong Zeng
Non-Heuristic Graph Reduction for Graph Cut
François Malgouyres
iPIANO: Interial Proximal Algorithm for Non-Convex Optimization
Thomas Pock

Splitting Strategies for Convex Problems with Complicated Block Structure
Ernie Esser
Revisiting the Quadratic Programming Formulation of Sparse Recovery
Mário Figueiredo
On the Minimization of Quotient Functionals
Gabriele Steidl
Primal-Dual Methods Revisited: New Schemes and Applications
Marc Teboulle
Fixed-Point Algorithms for Emission Computed Tomography Reconstruction
Yusheng Xu
Decentralized Optimization and its Splitting Methods
Wotao Yin
Accelerating Model-Based X-Ray CT Image Reconstruction Using Variable Splitting Methods with Ordered Subsets
Hung Nien
A Reweighted ℓ² Method for Image Restoration with Poisson and Mixed Poisson-Gaussian Noise
Xiaoqun Zhang

Functional-Analytic and Numerical Issues in Splitting Methods for Total Variation-Based Image Reconstruction
Michael Hintermueller
Implicit Filtering
Tim Kelley
A Semismooth Newton-CG Augmented Lagrangian Algorithm for Convex Minimization Problems with Non-Separable ℓ₁-regularization
Kim-Chuan Toh
An Algorithm for Variable Density Sampling with Block-Constrained Acquisition
Pierre Weiss
Exact Recovery for Sparse Signal via Weighted L1 Minimization
Naihua Xiu
The Augmented-Lagrangian-Type Methods for Low Multilinear-Rank Tensor Recovery
Lei Yang
A Nonmonotone Approximate Sequence Algorithm for Unconstrained Nonlinear Optimization
Hongchao Zhang
Proximal Linearized Alternating Direction Method for Image Restoration
Sangwoon Yun

Weighted Nuclear Norm Minimization for Image Restoration
Lei Zhang
Deblurring Face Images with Exemplars
Ming-Hsuan Yang
The Noise Clinic
Antoni Buades
Joint Spatiotemporal Removal of Mixed Random and Fixed-pattern Noise From Video
Alessandro Foi
Structure-Texture Separation via Relative Total Variation
Jiaya Jia
Super-Resolution from Internet-Scale Scene Matching
Libin Geoffrey Sun

Image Denoising by Frequency-Based Directional Multiscale Representation Systems
Xiaosheng Zhuang
Image Denoising by Directional Separable Complex Tight Framelets
Bin Han
Image Restoration Using Shearlet Based Sparsity Priors.
Wang-Q Lim

Study on Relationship between System Matrix and Reconstructed Image Quality in Iterative Image Reconstruction
Jianfeng He
A Universal Variational Framework for Sparsity Based Image Inpainting
Fang Li
Image Restoration and Segmentation Based on a Bilaterally Constrained Hybrid Total-Variation-Type Model
Zhifeng Pang
A New Variational Model for Image Segmentation
Ling Pi
Point Set Registration under Lie Group Framework
Yaxin Peng
On Decomposition-Based Block Preconditioned Iterative Methods for Half-Quadratic Image Restoration
Yumei Huang
Digital Inpainting of Remote Sensing Images
Huanfeng Shen
Ensemble Learning for Remote Sensing Image Processing
Peijun Du
Spatially Adaptive Total Variation Model: From Pixel to Regional Perspective
Qiangqiang Yuan
Separable Tensor Compressive Sensing and Application in Hyperspectral Imaging
Yongqiang Zhao
An Online Coupled Dictionary Learning Approach for Remote Sensing Image Fusion
Hongyan Zhang
Joint Blind Unmixing and Sparse Representation for Anomaly Detection in Hyperspectral Image
Yuancheng Huang
A Variational Approach for Image Stitching
Wei Wang
Screening Technique: Identifying Most Positions of Zeros in a Sparse Solution
Chaomin Shen
Variational Approach for Color-to-Grayscale Image Conversion
Zhengmeng Jin
Total Generalized Variation via Spectral Decomposition
Liang Xiao
Framelet Based Convex Optimization Model for Multiplicative Noise and Blur Removal
Fan Wang
A Primal-Dual Method for Meyer's Model of Cartoon and Texture Decomposition
Youwei Wen
Single Image Dehazing and Denoising: A Fast Variational Approach
Faming Fang
Total Variation Regularization Variational Method to Retrieval Phases from Partial Magnitude of 2D Images
Huibin Chang
A Weighted Dictionary Learning Model for Denoising Images Corrupted by Mixed Noise
Jun Liu
Edge Detection Using a Modified Mumford-Shah Model
Yuying Shi
Fast Algorithms for Structured Sparsity Based Brain Imaging
Yilun Wang
A Level Set Formulation of Geodesic Curvature Flow on Simplicial Surfaces
Chunlin Wu

Imaging Focal Brain Activity from MEG Data
Erkki Somersalo
Neuroelectric Source Localization by Random Spatial Sampling
Francesca Pitolli
Handling uncertainty in the measurement geometry in practical EIT
Stratos Staboulis
IAS Inversion of Electromagnetic Field Data
Sampsa Pursiainen

Scale, Equi-Affine and Affine Invariant Metrics
Dan Raviv
Computational Metric Geometry in the Natural Space
Ron Kimmel
Building Compatible Bases on Graphs, Images, and Manifolds
Davide Eynard
Sparse Models in Shape Analysis
Alexander M. Bronstein

Low-Rank Structures in Numerical Analysis and Data Recovery Problems
Eugene Tyrtyshnikov
Numerical Tensor Methods: Tools and Applications
Ivan Oseledets
Tensor Recovery Methods Using Nuclear Norms of Associated Matrices
Olga Lebedeva
Optimal Measurements in the K-Spaces and Image Reconstruction Techniques
Dmitry Zheltkov
Wavelet Tensor Train Decomposition for the Compression of Image Sequences
Pavel Kharyuk
The Application of Tensor Calculus to the Probabilistic Graphical Models: Results and Open Problems
Dmitry Vetrov
Low-Rank Approximation of Energies in Markov Random Fields and Their Representation in TT-Format
Anton Rodomanov
Computationally Efficient Methods for MAP-Inference and Partition Function Estimation in Graphhical Models in TT-Format
Alexander Novikov