Mathematical Methods in Image Processing and Inverse Problems - IPIP 2018, Beijing, China, April 21-24 (Hardcover, 1st ed. 2021)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Springer Proceedings in Mathematics & Statistics, 360
Release date:	September 2021
First published:	2021
Editors:	Xue-Cheng Tai • Suhua Wei • Haiguang Liu
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	223
Edition:	1st ed. 2021
ISBN-13:	978-981-16-2700-2
Categories:	Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Vector & tensor analysis Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Computing & IT > Applications of computing > Image processing > General
LSN:	981-16-2700-2
Barcode:	9789811627002

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