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ORCIDJournal of Mathematical Imaging and Vision, Volume 66
Volume 66, Number 1, January 2024
- Nicolas Boutry:
Introducing Poset-Based Connected n-Manifolds and P-well-composedness in Partially Ordered Sets. 1-21 - Xiaopan Li, Shiqian Wu, Shoulie Xie, Sos S. Agaian:
Dynamic-Clustering Extreme Intensity Prior Based Blind Image Deblurring. 22-36 - Margaret Duff, Neill D. F. Campbell, Matthias J. Ehrhardt
:
Regularising Inverse Problems with Generative Machine Learning Models. 37-56 - Yann Traonmilin, Jean-François Aujol, Pierre-Jean Bénard, Arthur Leclaire:
On Strong Basins of Attractions for Non-convex Sparse Spike Estimation: Upper and Lower Bounds. 57-74 - Michael Q. Rieck:
Geometric Conditions for the Existence or Non-existence of a Solution to the Perspective 3-Point Problem. 75-91
Volume 66, Number 2, April 2024
- Xiang-Yang Wang, Maoying Deng, Panpan Niu, Hongying Yang:
QFPJFMs: Quaternion Fractional-Order Pseudo-Jacobi-Fourier Moments. 93-114 - Kento Hosoya, Kouki Nozawa, Hayato Itoh, Atsushi Imiya:
Mathematical Properties of Pyramid-Transform-Based Resolution Conversion and Its Applications. 115-153 - Angelina Senchukova, Jarkko Suuronen, Jere Heikkinen, Lassi Roininen:
Geometry Parameter Estimation for Sparse X-Ray Log Imaging. 154-166 - Kexin Sun, Youcai Xu, Minfu Feng:
Non-monotone Boosted DC and Caputo Fractional Tailored Finite Point Algorithm for Rician Denoising and Deblurring. 167-184 - Kwancheol Shin, Sanwar Uddin Ahmad, Talles Batista Rattis Santos, Nilton Barbosa da Rosa Junior, Jennifer L. Mueller:
Comparison of Two Linearization-Based Methods for 3-D EIT Reconstructions on a Simulated Chest. 185-197 - Nick J. van de Berg, Bart M. N. Smets, Gautam Pai, Jean-Marie Mirebeau, Remco Duits:
Geodesic Tracking via New Data-Driven Connections of Cartan Type for Vascular Tree Tracking. 198-230
Volume 66, Number 3, June 2024
- Fahimeh Alipour, Mohammad Reza Eslahchi, Masoud Hajarian:
A New Prediction-Correction Primal-Dual Hybrid Gradient Algorithm for Solving Convex Minimization Problems with Linear Constraints. 231-245 - Tin Barisin, Katja Schladitz, Claudia Redenbach:
Riesz Networks: Scale-Invariant Neural Networks in a Single Forward Pass. 246-270 - Gábor Karai, Péter Kardos, Kálmán Palágyi:
Sufficient Conditions for Topology-Preserving Parallel Reductions on the Face-Centered Cubic Grid. 271-292 - Gábor Karai, Péter Kardos, Kálmán Palágyi:
Correction: Sufficient Conditions for Topology-Preserving Parallel Reductions on the Face-Centered Cubic Grid. 293 - Antonin Chambolle, Claire Delplancke, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Junqi Tang:
Stochastic Primal-Dual Hybrid Gradient Algorithm with Adaptive Step Sizes. 294-313 - Zeev Gutman, Ritvik Vij, Laurent Najman, Michael Lindenbaum:
Assessing Hierarchies by Their Consistent Segmentations. 314-334 - Snehal Bhayani, Janne Heikkilä, Zuzana Kukelova:
Sparse Resultant-Based Minimal Solvers in Computer Vision and Their Connection with the Action Matrix. 335-360 - Snehal Bhayani, Janne Heikkilä, Zuzana Kukelova:
Correction: Sparse Resultant-Based Minimal Solvers in Computer Vision and Their Connection with the Action Matrix. 361 - Pravin Nair, Kunal N. Chaudhury:
Averaged Deep Denoisers for Image Regularization. 362-379 - Patrick M. Jensen, J. Andreas Bærentzen, Anders B. Dahl, Vedrana Andersen Dahl:
Finding Space-Time Boundaries with Deformable Hypersurfaces. 380-392 - Paolo Piras, Nicolas Guigui, Valerio Varano:
Comparison of Different Parallel Transport Methods for the Study of Deformations in 3D Cardiac Data. 393-415
Volume 66, Number 4, August 2024
- Luca Calatroni, Marco Donatelli, Serena Morigi, Marco Prato, Matteo Santacesaria:
Guest Editorial JMIV Special Issue SSVM'23. 417-418 - Zoé Lambert, Carole Le Guyader:
About the Incorporation of Topological Prescriptions in CNNs for Medical Image Semantic Segmentation. 419-446 - Kristina Schaefer, Joachim Weickert:
Regularised Diffusion-Shock Inpainting. 447-463 - Hui Shi, Yann Traonmilin, Jean-François Aujol:
Batch-Less Stochastic Gradient Descent for Compressive Learning of Deep Regularization for Image Denoising. 464-477 - Eyal Gofer, Guy Gilboa:
Generalized Inversion of Nonlinear Operators. 478-503 - Martin Zach, Erich Kobler, Antonin Chambolle, Thomas Pock:
Product of Gaussian Mixture Diffusion Models. 504-528 - Ariane Fazeny, Daniel Tenbrinck, Kseniia Lukin, Martin Burger:
Hypergraph p-Laplacians and Scale Spaces. 529-549 - Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet, Gabriele Scrivanti:
A Variational Approach for Joint Image Recovery and Feature Extraction Based on Spatially Varying Generalised Gaussian Models. 550-571 - Bastien Laville, Laure Blanc-Féraud, Gilles Aubert:
A $\varGamma $-Convergence Result and An Off-the-Grid Charge Algorithm for Curve Reconstruction in Inverse Problems. 572-583 - Nathan Buskulic, Jalal Fadili, Yvain Quéau:
Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems. 584-605 - David Bensaïd, Ron Kimmel:
A Multi-spectral Geometric Approach for Shape Analysis. 606-615 - Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis:
Convergent Plug-and-Play with Proximal Denoiser and Unconstrained Regularization Parameter. 616-638 - Pascal Peter:
Generalised Diffusion Probabilistic Scale-Spaces. 639-656 - Hayato Itoh, Atsushi Imiya:
Subspace Discrimination for Multiway Data. 657-677 - Matías Tailanián, Álvaro Pardo, Pablo Musé:
U-Flow: A U-Shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold. 678-696 - Fabian Parzer, Clemens Kirisits, Otmar Scherzer:
Uncertainty Quantification for Scale-Space Blob Detection. 697-717 - Ali Al-Sharadqah, Giuliano Piga:
Concentric Ellipse Fitting with Bias Correction and Specialized Geometric-Based Clustering Approach. 718-740 - Yu Gao, Xiaochuan Pan, Chong Chen:
Analysis of Solution Existence, Uniqueness, and Stability of Discrete Basis Sinograms in Multispectral CT. 741-757
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