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 والمزيد
    • ‏149٫99 US$
    • ‏149٫99 US$

وصف الناشر

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.

النوع
علم وطبيعة
تاريخ النشر
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٢٥ سبتمبر
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer Nature Singapore
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Splitting Methods in Communication, Imaging, Science, and Engineering Splitting Methods in Communication, Imaging, Science, and Engineering
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Frontiers in PDE-Constrained Optimization Frontiers in PDE-Constrained Optimization
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Level Set and PDE Based Reconstruction Methods in Imaging Level Set and PDE Based Reconstruction Methods in Imaging
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Approximation Algorithms for Complex Systems Approximation Algorithms for Complex Systems
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High-Dimensional Optimization and Probability High-Dimensional Optimization and Probability
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Handbook of Variational Methods for Nonlinear Geometric Data Handbook of Variational Methods for Nonlinear Geometric Data
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Imaging, Vision and Learning Based on Optimization and PDEs Imaging, Vision and Learning Based on Optimization and PDEs
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Efficient Algorithms for Global Optimization Methods in Computer Vision Efficient Algorithms for Global Optimization Methods in Computer Vision
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Image Processing Based on Partial Differential Equations Image Processing Based on Partial Differential Equations
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Scale Space and Variational Methods in Computer Vision Scale Space and Variational Methods in Computer Vision
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