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SIAM Journal on Imaging Sciences, Volume 17
Volume 17, Number 1, March 2024
- Fan Jia, Shen Mao, Xue-Cheng Tai, Tieyong Zeng:
A Variational Model for Nonuniform Low-Light Image Enhancement. 1-30 - Avrajit Ghosh, Michael T. McCann, Madeline Mitchell, Saiprasad Ravishankar:
Learning Sparsity-Promoting Regularizers Using Bilevel Optimization. 31-60 - Luzia N. Felber, Helmut Harbrecht, Marc Schmidlin:
Identification of Sparsely Representable Diffusion Parameters in Elliptic Problems. 61-90 - Alexis Goujon, Sebastian Neumayer, Michael Unser:
Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms. 91-115 - Siddharth Srinivasan Iyer, Frank Ong, Xiaozhi Cao, Congyu Liao, Luca Daniel, Jonathan I. Tamir, Kawin Setsompop:
Polynomial Preconditioners for Regularized Linear Inverse Problems. 116-146 - Bangti Jin, Xiyao Li, Qimeng Quan, Zhi Zhou:
Conductivity Imaging from Internal Measurements with Mixed Least-Squares Deep Neural Networks. 147-187 - Long Li, Jiansheng Yang, Bo Zhang, Haiwen Zhang:
Direct Imaging Methods for Reconstructing a Locally Rough Interface from Phaseless Total-Field Data or Phased Far-Field Data. 188-224 - HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell:
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruptions. 225-247 - Xu Xiao, You-Wei Wen, Raymond Chan, Tieyong Zeng:
Image Segmentation Using Bayesian Inference for Convex Variant Mumford-Shah Variational Model. 248-272 - Gaiting Zhou, Daniel Tward, Kenneth Lange:
A Majorization-Minimization Algorithm for Neuroimage Registration. 273-300 - Dominik Narnhofer, Andreas Habring, Martin Holler, Thomas Pock:
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging. 301-333 - Vladimir Druskin, Shari Moskow, Mikhail Zaslavsky:
Reduced Order Modeling Inversion of Monostatic Data in a Multi-scattering Environment. 334-350 - Antonio Corbo Esposito, Luisa Faella, Gianpaolo Piscitelli, Vincenzo Mottola, Ravi Prakash, Antonello Tamburrino:
The \(\boldsymbol{{p}_0}\)-Laplace "Signature" for Quasilinear Inverse Problems. 351-388 - Alessandro Sarti, Mattia Galeotti, Giovanna Citti:
The Cortical V1 Transform as a Heterogeneous Poisson Problem. 389-414 - Alexander Katsevich:
Analysis of View Aliasing for the Generalized Radon Transform in \({\mathbb R}^{\textbf{2}}\). 415-440 - Junying Meng, Faqiang Wang, Jun Liu:
Learnable Nonlocal Self-Similarity of Deep Features for Image Denoising. 441-475 - Zunwei Fu, Yan Lin, Dachun Yang, Shuhui Yang:
Fractional Fourier Transforms Meet Riesz Potentials and Image Processing. 476-500 - Qiguang Chen, Zhiwen Li, Lok Ming Lui:
A Deep Learning Framework for Diffeomorphic Mapping Problems via Quasi-conformal Geometry Applied to Imaging. 501-539 - Xue-Cheng Tai, Hao Liu, Raymond Chan:
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks. 540-594 - Gaik Ambartsoumian, Mohammad Javad Latifi Jebelli, Rohit Kumar Mishra:
Numerical Implementation of Generalized V-Line Transforms on 2D Vector Fields and their Inversions. 595-631 - Julien Flamant, Konstantin Usevich, Marianne Clausel, David Brie:
Polarimetric Fourier Phase Retrieval. 632-671 - Teemu Tyni, Adam R. Stinchcombe, Spyros Alexakis:
A Boundary Integral Equation Method for the Complete Electrode Model in Electrical Impedance Tomography with Tests on Experimental Data. 672-705 - Zhiyuan Lyu, Gary P. T. Choi, Lok Ming Lui:
Bijective Density-Equalizing Quasiconformal Map for Multiply Connected Open Surfaces. 706-755 - Huiwen Zheng, Yifei Lou, Guoliang Tian, Chao Wang:
A Scale-Invariant Relaxation in Low-Rank Tensor Recovery with an Application to Tensor Completion. 756-783
Volume 17, Number 2, 2024
- Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb:
Provably Convergent Plug-and-Play Quasi-Newton Methods. 785-819 - Ziruo Cai, Junqi Tang, Subhadip Mukherjee, Jinglai Li, Carola-Bibiane Schönlieb, Xiaoqun Zhang:
NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems. 820-860 - Lili Bao, Jiahao Lu, Shihui Ying, Stefan Sommer:
Sliding at First-Order: Higher-Order Momentum Distributions for Discontinuous Image Registration. 861-887 - Yanran Li, Raymond H. Chan, Lixin Shen, Xiaosheng Zhuang, Risheng Wu, Yijun Huang, Junwei Liu:
Exploring Structural Sparsity of Coil Images from 3-Dimensional Directional Tight Framelets for SENSE Reconstruction. 888-916 - Quan Yu, Minru Bai:
Generalized Nonconvex Hyperspectral Anomaly Detection via Background Representation Learning with Dictionary Constraint. 917-950 - Xiaotong Liu, Jinxin Wang, Di Wang, Shao-Bo Lin:
Weighted Spectral Filters for Kernel Interpolation on Spheres: Estimates of Prediction Accuracy for Noisy Data. 951-983 - Trent DeGiovanni, Fernando Guevara Vasquez, China Mauck:
Imaging with Thermal Noise Induced Currents. 984-1006 - Junying Meng, Weihong Guo, Jun Liu, Mingrui Yang:
Assembling a Learnable Mumford-Shah Type Model with Multigrid Technique for Image Segmentation. 1007-1039 - Muhamed Kuric, Jan Ahmetspahic, Thomas Pock:
Total Generalized Variation on a Tree. 1040-1077 - Teresa Klatzer, Paul Dobson, Yoann Altmann, Marcelo Pereyra, Jesús María Sanz-Serna, Konstantinos C. Zygalakis:
Accelerated Bayesian Imaging by Relaxed Proximal-Point Langevin Sampling. 1078-1117 - Ningning Han, Juan Nie, Jian Lu, Michael K. P. Ng:
Stochastic Variance Reduced Gradient for Affine Rank Minimization Problem. 1118-1144 - Zhongming Wu, Chaoyan Huang, Tieyong Zeng:
Extrapolated Plug-and-Play Three-Operator Splitting Methods for Nonconvex Optimization with Applications to Image Restoration. 1145-1181 - Jiangjun Peng, Hailin Wang, Xiangyong Cao, Xixi Jia, Hongying Zhang, Deyu Meng:
Stable Local-Smooth Principal Component Pursuit. 1182-1205 - Charlesquin Kemajou Mbakam, Marcelo Pereyra, Jean-François Giovannelli:
Marginal Likelihood Estimation in Semiblind Image Deconvolution: A Stochastic Approximation Approach. 1206-1254 - Yuan Liu, Chunlin Wu, Chao Zeng:
Non-Lipschitz Variational Models and their Iteratively Reweighted Least Squares Algorithms for Image Denoising on Surfaces. 1255-1283 - Tin Barisin, Jesús Angulo, Katja Schladitz, Claudia Redenbach:
Riesz Feature Representation: Scale Equivariant Scattering Network for Classification Tasks. 1284-1313 - Alban Gossard, Pierre Weiss:
Training Adaptive Reconstruction Networks for Blind Inverse Problems. 1314-1346
Volume 17, Number 3, 2024
- Guillaume Lauga, Elisa Riccietti, Nelly Pustelnik, Paulo Gonçalves:
IML FISTA: A Multilevel Framework for Inexact and Inertial Forward-Backward. Application to Image Restoration. 1347-1376 - Guanqiu Ma, Hongxia Guo, Guanghui Hu:
Imaging a Moving Point Source from Multifrequency Data Measured at One and Sparse Observation Points (Part II): Near-Field Case in 3D. 1377-1414 - Mercedes Garcia-Salguero, Elijs Dima, André Mateus, Javier González Jiménez:
Fast Certifiable Algorithm for the Absolute Pose Estimation of a Camera. 1415-1432 - Michael Wilson, Tom Needham, Chiwoo Park, Suparteek Kundu, Anuj Srivastava:
A Wasserstein-Type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis. 1433-1466 - Robert Lung, Nick Polydorides:
Imaging of Atmospheric Dispersion Processes with Differential Absorption Lidar. 1467-1510 - Dihan Zheng, Shiqi Tang, Roland R. Wagner, Ronny Ramlau, Chenglong Bao, Raymond H. Chan:
PhaseNet: A Deep Learning Based Phase Reconstruction Method for Ground-Based Astronomy. 1511-1538 - Christina Brandt, Tobias Kluth, Tobias Knopp, Lena Westen:
Dynamic Image Reconstruction with Motion Priors in Application to Three Dimensional Magnetic Particle Imaging. 1539-1586 - Kartheek Kumar Reddy Nareddy, Abijith Jagannath Kamath, Chandra Sekhar Seelamantula:
Tight-Frame-Like Analysis-Sparse Recovery Using Nontight Sensing Matrices. 1587-1618 - Giovanni S. Alberti, Romain Petit, Matteo Santacesaria:
Localization of Point Scatterers via Sparse Optimization on Measures. 1619-1649 - Diego Marcondes, Junior Barrera:
Discrete Morphological Neural Networks. 1650-1689 - Ke Chen, Huan Han:
Three-Stage Approach for 2D/3D Diffeomorphic Multimodality Image Registration with Textural Control. 1690-1728 - Matthias J. Ehrhardt, Lorenz Kuger, Carola-Bibiane Schönlieb:
Proximal Langevin Sampling with Inexact Proximal Mapping. 1729-1760 - Elli Karvonen, Matti Lassas, Pekka Pankka, Samuli Siltanen:
TILT: Topological Interface Recovery in Limited-Angle Tomography. 1761-1794 - Hong Zhu, Michael K. Ng:
An Inexact Majorized Proximal Alternating Direction Method of Multipliers for Diffusion Tensors. 1795-1819 - Jan Hamann, Quoc Thong Le Gia, Ian H. Sloan, Robert S. Womersley:
Removing the Mask - Reconstructing a Real-Valued Field on the Sphere from a Masked Field by Spherical Fourier Analysis. 1820-1843 - Antonin Chambolle, Michal Lasica:
Inclusion and Estimates for the Jumps of Minimizers in Variational Denoising. 1844-1878 - Jian-Feng Cai, Jae Kyu Choi, Jingyang Li, Guojian Yin:
Restoration Guarantee of Image Inpainting via Low Rank Patch Matrix Completion. 1879-1908 - Junren Chen, Zhaoqiang Liu, Meng Ding, Michael K. Ng:
Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors. 1909-1977 - Oleh Melnyk, Patricia Römer:
Background Removal for Ptychography via Wigner Distribution Deconvolution. 1978-2014 - Zhen Shuang, Jie Xiao:
Evolutionary Weighted Laplace Equations with Applications in Signal Decomposition. 2015-2052
Volume 17, Number 4, 2024
- Xinyan Li, Simon Hubmer, Shuai Lu, Ronny Ramlau:
Regularization of Linear Inverse Problems with Irregular Noise Using Embedding Operators. 2053-2075 - Derek Driggs, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Junqi Tang:
Practical Acceleration of the Condat-Vũ Algorithm. 2076-2109
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