Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging
Editor
- Ke Chen(The University of Liverpool, Department of Mathematical Sciences)Carola-Bibiane Schönlieb(University of Cambridge, Department of Applied Mathematics and Theoretical Physics)Xue-Cheng Tai(Hong Kong Center for Cerebrocardiovascular Health Engineering (COCHE))Laurent Younes(Johns Hopkins University, Department of Applied Mathematics and Statistics)
Abstract
No abstract is available for this item.Individual chapters are listed in the "Chapters" tab
Suggested Citation
- Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), 2023. "Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging," Springer Books, Springer, number 978-3-030-98661-2, December.
Handle: RePEc:spr:sprbok:978-3-030-98661-2
DOI: 10.1007/978-3-030-98661-2Download full text from publisher
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3. Perform a for a similarly titled item that would be available.Book Chapters
The following chapters of this book are listed in IDEAS- Fabien Pierre & Jean-François Aujol, 2023. "Recent Approaches for Image Colorization," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 15, pages 585-622, Springer.
- Jérôme Darbon & Gabriel P. Langlois & Tingwei Meng, 2023. "Connecting Hamilton-Jacobi Partial Differential Equations with Maximum a Posteriori and Posterior Mean Estimators for Some Non-convex Priors," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 6, pages 209-233, Springer.
- Yunmei Chen & Xiaojing Ye & Qingchao Zhang, 2023. "Variational Model-Based Deep Neural Networks for Image Reconstruction," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 23, pages 879-907, Springer.
- Matthias J. Ehrhardt, 2023. "Multi-modality Imaging with Structure-Promoting Regularizers," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 7, pages 235-272, Springer.
- Xiangchu Feng & Xiaolong Zhu, 2023. "Models for Multiplicative Noise Removal," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 9, pages 313-346, Springer.
- Alessandro Lanza & Serena Morigi & Ivan W. Selesnick & Fiorella Sgallari, 2023. "Convex Non-convex Variational Models," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 1, pages 3-59, Springer.
- Martin Benning & Erlend Skaldehaug Riis, 2023. "Bregman Methods for Large-Scale Optimization with Applications in Imaging," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 3, pages 97-138, Springer.
- Juan Carlos De los Reyes & David Villacís, 2023. "Bilevel Optimization Methods in Imaging," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 24, pages 909-941, Springer.
- Jonas Adler, 2023. "Learned Iterative Reconstruction," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 19, pages 751-771, Springer.
- Sebastian Lunz, 2023. "Learned Regularizers for Inverse Problems," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 31, pages 1133-1153, Springer.
- Markus Grasmair & Valeriya Naumova, 2023. "Multi-parameter Approaches in Image Processing," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 25, pages 943-967, Springer.
- Hei-Long Chan & Lok-Ming Lui, 2023. "Recent Development of Medical Shape Analysis via Computational Quasi-conformal Geometry," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 41, pages 1413-1436, Springer.
- Yehuda Dar & Alfred M. Bruckstein, 2023. "Modular ADMM-Based Strategies for Optimized Compression, Restoration, and Distributed Representations of Visual Data," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 5, pages 175-207, Springer.
- Xiaohao Cai & Raymond Chan & Tieyong Zeng, 2023. "An Overview of SaT Segmentation Methodology and Its Applications in Image Processing," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 40, pages 1385-1411, Springer.
- Jonathan Wittmer & Tan Bui-Thanh, 2023. "Data-Informed Regularization for Inverse and Imaging Problems," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 35, pages 1235-1272, Springer.
- Stefania Bellavia & Tommaso Bianconcini & Nataša Krejić & Benedetta Morini, 2023. "Subsampled First-Order Optimization Methods with Applications in Imaging," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 2, pages 61-95, Springer.
- Gitta Kutyniok, 2023. "Shearlets: From Theory to Deep Learning," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 30, pages 1095-1132, Springer.
- Markus Haltmeier & Linh Nguyen, 2023. "Regularization of Inverse Problems by Neural Networks," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 29, pages 1065-1093, Springer.
- Johannes Schwab, 2023. "Deep Learning Methods for Limited Data Problems in X-Ray Tomography," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 33, pages 1183-1202, Springer.
- Andreas Hauptmann & Ozan Öktem & Carola Schönlieb, 2023. "Image Reconstruction in Dynamic Inverse Problems with Temporal Models," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 48, pages 1707-1737, Springer.
- Zhifang Liu & Yuping Duan & Chunlin Wu & Xue-Cheng Tai, 2023. "On Variable Splitting and Augmented Lagrangian Method for Total Variation-Related Image Restoration Models," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 13, pages 503-549, Springer.
- Ke Chen & Noémie Debroux & Carole Le Guyader, 2023. "A Survey of Topology and Geometry-Constrained Segmentation Methods in Weakly Supervised Settings," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 42, pages 1437-1482, Springer.
- Alexis Arnaudon & Darryl Holm & Stefan Sommer, 2023. "Stochastic Shape Analysis," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 38, pages 1325-1348, Springer.
- Martin Bauer & Nicolas Charon & Eric Klassen & Alice Le Brigant, 2023. "Intrinsic Riemannian Metrics on Spaces of Curves: Theory and Computation," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 39, pages 1349-1383, Springer.
- Guy Gilboa, 2023. "Iterative Methods for Computing Eigenvectors of Nonlinear Operators," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 46, pages 1631-1657, Springer.
- Xuecheng Tai & Lingfeng Li & Egil Bae, 2023. "The Potts Model with Different Piecewise Constant Representations and Fast Algorithms: A Survey," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 52, pages 1887-1927, Springer.
- Robin Richter & Duy H. Thai & Carsten Gottschlich & Stephan F. Huckemann, 2023. "Filter Design for Image Decomposition and Applications to Forensics," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 32, pages 1155-1182, Springer.
- Tuomo Valkonen, 2023. "First-Order Primal–Dual Methods for Nonsmooth Non-convex Optimization," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 18, pages 707-748, Springer.
- Sebastian Neumayer & Gabriele Steidl, 2023. "From Optimal Transport to Discrepancy," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 50, pages 1791-1826, Springer.
- R. Duits & B. M. N. Smets & A. J. Wemmenhove & J. W. Portegies & E. J. Bekkers, 2023. "Recent Geometric Flows in Multi-orientation Image Processing via a Cartan Connection," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 44, pages 1525-1583, Springer.
- Anis Theljani & Abderrahmane Habbal & Moez Kallel & Ke Chen, 2023. "Game Theory and Its Applications in Imaging and Vision," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 17, pages 677-706, Springer.
- Michal Haindl, 2023. "Bidirectional Texture Function Modeling," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 28, pages 1023-1064, Springer.
- Andreas Langer, 2023. "Domain Decomposition for Non-smooth (in Particular TV) Minimization," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 11, pages 379-425, Springer.
- Xianfeng Gu & Na Lei & Shing-Tung Yau, 2023. "Optimal Transport for Generative Models," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 47, pages 1659-1706, Springer.
- Antonio Orlando & Elaine Crooks & Kewei Zhang, 2023. "Compensated Convex-Based Transforms for Image Processing and Shape Interrogation," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 51, pages 1827-1886, Springer.
- Na Lei & Feng Luo & Shing-Tung Yau & Xianfeng Gu, 2023. "Computational Conformal Geometric Methods for Vision," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 49, pages 1739-1790, Springer.
- Huilin Yang & Junyan Lyu & Roger Tam & Xiaoying Tang, 2023. "A Survey on Deep Learning-Based Diffeomorphic Mapping," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 37, pages 1289-1321, Springer.
- Luying Gui & Jun Ma & Xiaoping Yang, 2023. "Variational Models and Their Combinations with Deep Learning in Medical Image Segmentation: A Survey," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 27, pages 1001-1022, Springer.
- Samad Wali & Chunming Li & Lingyan Zhang, 2023. "MRI Bias Field Estimation and Tissue Segmentation Using Multiplicative Intrinsic Component Optimization and Its Extensions," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 34, pages 1203-1234, Springer.
- Yin Xian & Haiguang Liu & Xuecheng Tai & Yang Wang, 2023. "Randomized Kaczmarz Method for Single Particle X-Ray Image Phase Retrieval," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 36, pages 1273-1288, Springer.
- Gary P. T. Choi & Lok Ming Lui, 2023. "Recent Developments of Surface Parameterization Methods Using Quasi-conformal Geometry," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 43, pages 1483-1523, Springer.
- Soomin Jeon & Chang-Ock Lee, 2023. "Recent Approaches to Metal Artifact Reduction in X-Ray CT Imaging," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 10, pages 347-377, Springer.
- Florian Faucher & Clemens Kirisits & Michael Quellmalz & Otmar Scherzer & Eric Setterqvist, 2023. "Diffraction Tomography, Fourier Reconstruction, and Full Waveform Inversion," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 8, pages 273-312, Springer.
- Huibin Chang & Li Yang & Stefano Marchesini, 2023. "Fast Iterative Algorithms for Blind Phase Retrieval: A Survey," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 4, pages 139-174, Springer.
- Nicolas Charon & Laurent Younes, 2023. "Shape Spaces: From Geometry to Biological Plausibility," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 53, pages 1929-1958, Springer.
- Coloma Ballester & Aurélie Bugeau & Samuel Hurault & Simone Parisotto & Patricia Vitoria, 2023. "An Analysis of Generative Methods for Multiple Image Inpainting," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 20, pages 773-820, Springer.
- Caroline Geiersbach & Estefania Loayza-Romero & Kathrin Welker, 2023. "PDE-Constrained Shape Optimization: Toward Product Shape Spaces and Stochastic Models," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 45, pages 1585-1630, Springer.
- Noor Badshah, 2023. "Fast Numerical Methods for Image Segmentation Models," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 12, pages 427-501, Springer.
- Elena Morotti & Elena Loli Piccolomini, 2023. "Sparse Regularized CT Reconstruction: An Optimization Perspective," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 14, pages 551-584, Springer.
- Aurélie Bugeau & Rémi Giraud & Lara Raad, 2023. "Influence of Color Spaces for Deep Learning Image Colorization," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 22, pages 847-878, Springer.
- Hanlin Gu & Yin Xian & Ilona Christy Unarta & Yuan Yao, 2023. "Generative Adversarial Networks for Robust Cryo-EM Image Denoising," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 26, pages 969-1000, Springer.
- Coloma Ballester & Hernan Carrillo & Michaël Clément & Patricia Vitoria, 2023. "Analysis of Different Losses for Deep Learning Image Colorization," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 21, pages 821-846, Springer.
- Xiaoliang Song & Bo Yu, 2023. "Numerical Solution for Sparse PDE Constrained Optimization," Springer Books, in: Ke Chen & Carola-Bibiane Schönlieb & Xue-Cheng Tai & Laurent Younes (ed.), Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, chapter 16, pages 623-675, Springer.
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