Overview
- Includes 11 original research papers by invited speakers at IPIP2018 in honor of Professor Raymond Chan
- Deals with efficient algorithms and advanced mathematical modeling in imaging processing, data science and inverse problems
- Provides a good reference for researchers working on imaging science, inverse problems, optimization and PDE
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 360)
Included in the following conference series:
Conference proceedings info: IPIP 2018.
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About this book
The contents of the book cover topics including image reconstruction, image segmentation, image registration, inverse problems and so on. Deep learning, PDE, statistical theory based research methods and techniques were discussed. The state-of-the-art developments on mathematical analysis, advanced modeling, efficient algorithm and applications were presented. The collected papers in this book also give new research trends in deep learning and optimization for imaging science. It should be a good reference for researchers working on related problems, as well as for researchers working on computer vision and visualization, inverse problems, image processing and medical imaging.
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Keywords
- Low-Rank Matrix Reconstruction
- Non-Convex Methods
- Image Selective Segmentation Models
- Variational Inpainting Models
- Traveltime Tomography
- Gravimetry
- Emission Tomography
- Compressive Sensing
- Convolutional Linear Networks
- LpCM
- Variational Shape Decomposition
- Robust Tensor Completion
- Defocus
- Lattice-based Patterned Fabric Inspection
Table of contents (11 papers)
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Mathematical Methods in Image Processing and Inverse Problems
Editors and Affiliations
Bibliographic Information
Book Title: Mathematical Methods in Image Processing and Inverse Problems
Book Subtitle: IPIP 2018, Beijing, China, April 21–24
Editors: Xue-Cheng Tai, Suhua Wei, Haiguang Liu
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-981-16-2701-9
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-16-2700-2Published: 27 September 2021
Softcover ISBN: 978-981-16-2703-3Published: 28 September 2022
eBook ISBN: 978-981-16-2701-9Published: 25 September 2021
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: X, 223
Number of Illustrations: 9 b/w illustrations, 63 illustrations in colour
Topics: Applications of Mathematics, Image Processing and Computer Vision, Analysis