Mathematical Methods in Image Processing and Inverse Problems
IPIP 2018, Beijing, China, April 21-24
Published on 27. September 2021
Book
Hardback
X, 223 pages
978-981-16-2700-2 (ISBN)
Description
This book contains eleven original and survey scientific research articles arose from presentations given by invited speakers at International Workshop on Image Processing and Inverse Problems, held in Beijing Computational Science Research Center, Beijing, China, April 21-24, 2018. The book was dedicated to Professor Raymond Chan on the occasion of his 60th birthday.
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.
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.
More details
Series
Edition
2021 ed.
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Illustrations
63 farbige Abbildungen, 9 s/w Abbildungen
X, 223 p. 72 illus., 63 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 19 mm
Weight
524 gr
ISBN-13
978-981-16-2700-2 (9789811627002)
DOI
10.1007/978-981-16-2701-9
Schweitzer Classification
Other editions
Additional editions
Xue-Cheng Tai | Suhua Wei | Haiguang Liu
Mathematical Methods in Image Processing and Inverse Problems
IPIP 2018, Beijing, China, April 21-24
Book
09/2022
Springer
€192.59
Shipment within 3-4 weeks
Xue-Cheng Tai | Suhua Wei | Haiguang Liu
Mathematical Methods in Image Processing and Inverse Problems
IPIP 2018, Beijing, China, April 21-24
E-Book
09/2021
1st Edition
Springer
€181.89
Available for download
Content
C. Wang, R. Chan, R. Plemmons, Sudhakar Prasad,Point Spread Function Engineering for 3D Imaging of Space Debris using a Continuous Exact $\ell_0$ Penalty (CEL0) Based Algorithm\.- S. Wei, S. Leung, An Adjoint State Method for a Schr\"odinger Inverse Problem.- Ke Chen, On A New Diffeomorphic Multi-modality Image Registration Model and Its Convergent Gauss-Newton Solver.- Y. He, M. Huska, S. Ha Kang, H. Liu, Fast Algorithms for Surface Reconstruction from Point Cloud.- H. Pan, Y. Wen, A Total Variation Regularization Method for Inverse Source Problem with Uniform Noise.- S. Morigi, A. Lanza, F. Sgallari, Automatic Parameter Selection Based on Residual Whiteness for Convex non-convex Variational Restoration.- Michael Ng, M. Qiao, Total Variation Gamma Correction Method for Tone Mapped HDR Images.- X. Yuan, On the Optimal Proximal Parameter of an ADMM-like Splitting Method for Separable Convex Programming.- X. Ding, H. Yang, R. Chan, Hui Hu, Y. Peng, T. Zeng, A newinitialization method for neural networks with weight sharing.- S.-Nee Chow, Jun Lu, H. Zhou, The Shortest path amid 3-D polyhedral obstacles.- Y. Chen, J. Wan, Multigrid Methods for Image Registration Model based on Optimal Mass Transport.