Mathematical Methods in Image Processing and Inverse Problems: IPIP 2018, Beijing, China, April 21–24: 360 (Springer Proceedings in Mathematics & Statistics, 360) - Image 1

£97.00

Springer Mathematical Methods in Image Processing and Inverse Problems: IPIP 2018, Beijing, China, April 21–24: 360 (Springer Proceedings in Mathematics & Statistics, 360)

Name: Mathematical Methods in Image Processing and Inverse Problems: IPIP 2018, Beijing, China, April 21-24: 360 (Springer Proceedings in Mathematics & Statistics, 360)
Brand: Springer
Price: 97.0 GBP
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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. From the Back Cover 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.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 9811627002
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 27 September 2021
Listed Since: 16 April 2021

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Springer Mathematical Methods in Image Processing and Inverse Problems: IPIP 2018, Beijing, China, April 21–24: 360 (Springer Proceedings in Mathematics & Statistics, 360)

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