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Mathematical Methods in Image Processing and Inverse Problems -

Mathematical Methods in Image Processing and Inverse Problems (eBook)

IPIP 2018, Beijing, China, April 21–24
eBook Download: PDF
2021 | 1st ed. 2021
X, 223 Seiten
Springer Singapore (Verlag)
978-981-16-2701-9 (ISBN)
Systemvoraussetzungen
181,89 inkl. MwSt
(CHF 177,70)
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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.


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.
Erscheint lt. Verlag 25.9.2021
Reihe/Serie Springer Proceedings in Mathematics & Statistics
Springer Proceedings in Mathematics & Statistics
Zusatzinfo X, 223 p. 72 illus., 63 illus. in color.
Sprache englisch
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Mathematik / Informatik Mathematik Analysis
Mathematik / Informatik Mathematik Angewandte Mathematik
Schlagworte compressive sensing • Convolutional Linear Networks • Defocus • emission tomography • Gravimetry • Image Selective Segmentation Models • Lattice-based Patterned Fabric Inspection • Low-Rank Matrix Reconstruction • LpCM • Non-Convex Methods • Robust Tensor Completion • Traveltime Tomography • Variational Inpainting Models • Variational Shape Decomposition
ISBN-10 981-16-2701-0 / 9811627010
ISBN-13 978-981-16-2701-9 / 9789811627019
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