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ORCIDSIAM Journal on Imaging Sciences, Volume 14
Volume 14, Number 1, 2021
- Lili Pan, Xiaojun Chen:
Group Sparse Optimization for Images Recovery Using Capped Folded Concave Functions. 1-25 - Lorenzo Baldassari, Andrea Scapin:
Multi-scale Classification for Electrosensing. 26-57 - Hossein S. Aghamiry
, Ali Gholami, Stéphane Operto:
Complex-Valued Imaging with Total Variation Regularization: An Application to Full-Waveform Inversion in Visco-acoustic Media. 58-91 - Sebastian Lunz, Andreas Hauptmann, Tanja Tarvainen, Carola-Bibiane Schönlieb, Simon R. Arridge:
On Learned Operator Correction in Inverse Problems. 92-127 - Leah Bar, Nir A. Sochen:
Strong Solutions for PDE-Based Tomography by Unsupervised Learning. 128-155 - Xuefei Yan, David J. Brady, Weiping Zhang, Changzhi Yu, Yulin Jiang, Jianqiang Wang, Chao Huang, Zian Li, Zhan Ma:
Compressive Sampling for Array Cameras. 156-177 - Wei Wang, Michael K. Ng:
Color Image Restoration by Saturation-Value Total Variation Regularization on Vector Bundles. 178-197 - Alfred Marcel Bruckstein, Martianus Frederic Ezerman, Adamas Aqsa Fahreza, San Ling:
Patch-Based Holographic Image Sensing. 198-223 - Keji Liu:
Fast Imaging of Sources and Scatterers in a Stratified Ocean Waveguide. 224-245 - Jianqiao Wangni, Dahua Lin, Ji Liu, Kostas Daniilidis, Jianbo Shi:
Towards Statistically Provable Geometric 3D Human Pose Recovery. 246-270 - Matan Leibovich, George Papanicolaou, Chrysoula Tsogka:
Correlation Based Imaging for Rotating Satellites. 271-303 - Claire Launay, Agnès Desolneux, Bruno Galerne:
Determinantal Point Processes for Image Processing. 304-348 - Juliette Chevallier, Vianney Debavelaere, Stéphanie Allassonnière:
A Coherent Framework for Learning Spatiotemporal Piecewise-Geodesic Trajectories from Longitudinal Manifold-Valued Data. 349-388 - Fang He, Xiao Wang, Xiaojun Chen:
A Penalty Relaxation Method for Image Processing Using Euler's Elastica Model. 389-417 - Serena Crisci, Michele Piana, Valeria Ruggiero, Mara Scussolini:
A Regularized Affine-Scaling Trust-Region Method for Parametric Imaging of Dynamic PET Data. 418-439
Volume 14, Number 2, 2021
- Zhengmeng Jin, Junkang Zhang, Lihua Min, Michael K. Ng:
A Variational Model for Spatially Weighting in Image Fusion. 441-469 - Tatiana A. Bubba, Mathilde Galinier, Matti Lassas, Marco Prato, Luca Ratti, Samuli Siltanen:
Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography. 470-505 - Riccardo Aramini, Fabrice Delbary, Mauro Carlo Beltrametti, Claudio Estatico, Michele Piana, Anna Maria Massone:
On the Asymptotic Equivalence Between the Radon and the Hough Transforms of Digital Images. 506-529 - Huanmin Ge, Wengu Chen, Michael K. Ng:
New Restricted Isometry Property Analysis for ℓ1-ℓ2 Minimization Methods. 530-557 - Gerhard Zangerl, Markus Haltmeier:
Multiscale Factorization of the Wave Equation with Application to Compressed Sensing Photoacoustic Tomography. 558-579 - Qing Zou, Mathews Jacob:
Recovery of Surfaces and Functions in High Dimensions: Sampling Theory and Links to Neural Networks. 580-619 - David A. Barmherzig, Alex H. Barnett, Charles L. Epstein, Leslie F. Greengard, Jeremy F. Magland, Manas Rachh:
Recovering Missing Data in Coherent Diffraction Imaging. 620-644 - Guozhi Dong, Michael Hintermueller, Ye Zhang:
A Class of Second-Order Geometric Quasilinear Hyperbolic PDEs and Their Application in Imaging. 645-688 - Ayelet Heimowitz, Nir Sharon, Amit Singer:
Centering Noisy Images with Application to Cryo-EM. 689-716 - Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski:
A Color Elastica Model for Vector-Valued Image Regularization. 717-748 - Chao Wang, Min Tao, James G. Nagy, Yifei Lou:
Limited-Angle CT Reconstruction via the L1/L2 Minimization. 749-777 - Antonin Chambolle, Thomas Pock:
Learning Consistent Discretizations of the Total Variation. 778-813 - Martin Benning, Marta M. Betcke, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb:
Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework. 814-843 - Wen Li, Elena Resmerita, Luminita A. Vese:
Multiscale Hierarchical Image Decomposition and Refinements: Qualitative and Quantitative Results. 844-877
Volume 14, Number 3, 2021
- Joan Duran, Julia Navarro, Antoni Buades:
Variational Densification and Refinement of Registration Maps. 879-912 - Ido Cohen, Omri Azencot, Pavel Lifshits, Guy Gilboa:
Modes of Homogeneous Gradient Flows. 913-945 - Yat Tin Chow, Youjun Deng, Youzi He, Hongyu Liu, Xianchao Wang:
Surface-Localized Transmission Eigenstates, Super-resolution Imaging, and Pseudo Surface Plasmon Modes. 946-975 - James W. Webber, Eric Todd Quinto:
Microlocal Analysis of Generalized Radon Transforms from Scattering Tomography. 976-1003 - Yat Tin Chow, Fuqun Han, Jun Zou:
A Direct Sampling Method for the Inversion of the Radon Transform. 1004-1038 - Giovanni S. Alberti, Paolo Campodonico, Matteo Santacesaria:
Compressed Sensing Photoacoustic Tomography Reduces to Compressed Sensing for Undersampled Fourier Measurements. 1039-1077 - Kevin Bui, Fredrick Park, Yifei Lou, Jack Xin:
A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image Segmentation. 1078-1113 - Leon Bungert, Ester Hait-Fraenkel, Nicolas Papadakis, Guy Gilboa:
Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks. 1114-1148 - Ben Adcock, Nick C. Dexter, Qinghong Xu:
Improved Recovery Guarantees and Sampling Strategies for TV Minimization in Compressive Imaging. 1149-1183 - Jun Ma, Dong Wang, Xiao-Ping Wang, Xiaoping Yang:
A Characteristic Function-Based Algorithm for Geodesic Active Contours. 1184-1205 - Jean-Christophe Pesquet, Audrey Repetti, Matthieu Terris, Yves Wiaux:
Learning Maximally Monotone Operators for Image Recovery. 1206-1237 - Nicolás A. Barnafi, Gabriel N. Gatica, Daniel E. Hurtado, Willian Miranda, Ricardo Ruiz-Baier:
Adaptive Mesh Refinement in Deformable Image Registration: A Posteriori Error Estimates for Primal and Mixed Formulations. 1238-1272 - Robin Richter, Duy Hoang Thai, Stephan Huckemann:
Generalized Intersection Algorithms with Fixed Points for Image Decomposition Learning. 1273-1305 - Hyoung Suk Park, Junhwa Jung, Jin Keun Seo:
Pseudo-monochromatic Imaging in Industrial X-Ray Computed Tomography. 1306-1325 - Ya-Nan Zhu, Xiaoqun Zhang:
A Stochastic Variance Reduced Primal Dual Fixed Point Method for Linearly Constrained Separable Optimization. 1326-1353 - Xu Yang, Zhi-Yong Liu:
A Doubly Graduated Method for Inference in Markov Random Field. 1354-1373 - Regev Cohen, Michael Elad, Peyman Milanfar:
Regularization by Denoising via Fixed-Point Projection (RED-PRO). 1374-1406
Volume 14, Number 4, 2021
- Juan P. Agnelli, Ville Kolehmainen, Matti Lassas, Petri Ola, Samuli Siltanen:
Simultaneous Reconstruction of Conductivity, Boundary Shape, and Contact Impedances in Electrical Impedance Tomography. 1407-1438 - Xuemei Chen, Jing Qin:
Regularized Kaczmarz Algorithms for Tensor Recovery. 1439-1471 - HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell:
Robust CUR Decomposition: Theory and Imaging Applications. 1472-1503 - Tom Tirer, Raja Giryes:
On the Convergence Rate of Projected Gradient Descent for a Back-Projection Based Objective. 1504-1531 - Yunmei Chen, Hongcheng Liu, Xiaojing Ye, Qingchao Zhang:
Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction. 1532-1564 - Willem Diepeveen, Jan Lellmann:
An Inexact Semismooth Newton Method on Riemannian Manifolds with Application to Duality-Based Total Variation Denoising. 1565-1600 - Wei Li, John C. Schotland, Yang Yang, Yimin Zhong:
An Acousto-electric Inverse Source Problem. 1601-1616 - Mercedes Garcia-Salguero, Javier González Jiménez:
A Sufficient Condition of Optimality for the Relative Pose Problem between Cameras. 1617-1634 - Liliana Borcea, Josselin Garnier:
Imaging in Random Media by Two-Point Coherent Interferometry. 1635-1668 - Viktor Daropoulos, Matthias Augustin, Joachim Weickert:
Sparse Inpainting with Smoothed Particle Hydrodynamics. 1669-1705 - Thomas Pinetz, Erich Kobler, Thomas Pock, Alexander Effland:
Shared Prior Learning of Energy-Based Models for Image Reconstruction. 1706-1748 - Martin Huska, Sung Ha Kang, Alessandro Lanza, Serena Morigi:
A Variational Approach to Additive Image Decomposition into Structure, Harmonic, and Oscillatory Components. 1749-1789 - Yueh-Cheng Kuo, Wen-Wei Lin, Mei-Heng Yueh, Shing-Tung Yau:
Convergent Conformal Energy Minimization for the Computation of Disk Parameterizations. 1790-1815 - Thomas Batard, Gloria Haro, Coloma Ballester:
DIP-VBTV: A Color Image Restoration Model Combining a Deep Image Prior and a Vector Bundle Total Variation. 1816-1847 - Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon:
Provably Robust Blind Source Separation of Linear-Quadratic Near-Separable Mixtures. 1848-1889 - Jianping Zhang, Yanyan Li:
Diffeomorphic Image Registration with an Optimal Control Relaxation and Its Implementation. 1890-1931 - Derek Driggs, Junqi Tang, Jingwei Liang, Mike E. Davies, Carola-Bibiane Schönlieb:
A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization. 1932-1970
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