Mathematical Methods in Image Processing and Inverse Problems Mathematical Methods in Image Processing and Inverse Problems

Mathematical Methods in Image Processing and Inverse Problems

IPIP 2018, Beijing, China, April 21–24

Xue-Cheng Tai and Others
    • $149.99
    • $149.99

Publisher 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.

GENRE
Science & Nature
RELEASED
2021
September 25
LANGUAGE
EN
English
LENGTH
233
Pages
PUBLISHER
Springer Nature Singapore
SELLER
Springer Nature B.V.
SIZE
57.1
MB
Splitting Methods in Communication, Imaging, Science, and Engineering Splitting Methods in Communication, Imaging, Science, and Engineering
2017
Frontiers in PDE-Constrained Optimization Frontiers in PDE-Constrained Optimization
2018
Level Set and PDE Based Reconstruction Methods in Imaging Level Set and PDE Based Reconstruction Methods in Imaging
2013
Approximation Algorithms for Complex Systems Approximation Algorithms for Complex Systems
2011
High-Dimensional Optimization and Probability High-Dimensional Optimization and Probability
2022
Handbook of Variational Methods for Nonlinear Geometric Data Handbook of Variational Methods for Nonlinear Geometric Data
2020
Imaging, Vision and Learning Based on Optimization and PDEs Imaging, Vision and Learning Based on Optimization and PDEs
2018
Efficient Algorithms for Global Optimization Methods in Computer Vision Efficient Algorithms for Global Optimization Methods in Computer Vision
2014
Image Processing Based on Partial Differential Equations Image Processing Based on Partial Differential Equations
2006
Scale Space and Variational Methods in Computer Vision Scale Space and Variational Methods in Computer Vision
2009