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ORCIDSIAM 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 H. 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 H. 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
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