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Mathematical methods in image proces...

International Workshop on Image Processing and Inverse Problems ((2018 :)

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Mathematical methods in image processing and inverse problems = IPIP 2018, Beijing, China, April 21-24 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Mathematical methods in image processing and inverse problems/ edited by Xue-Cheng Tai, Suhua Wei, Haiguang Liu.
其他題名:	IPIP 2018, Beijing, China, April 21-24 /
其他題名:	IPIP 2018
其他作者:	Tai, Xue-Cheng.
團體作者:	International Workshop on Image Processing and Inverse Problems
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	x, 223 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Image processing - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-16-2701-9
ISBN:	9789811627019

Mathematical methods in image processing and inverse problems = IPIP 2018, Beijing, China, April 21-24 /
Mathematical methods in image processing and inverse problemsIPIP 2018, Beijing, China, April 21-24 /[electronic resource] :IPIP 2018edited by Xue-Cheng Tai, Suhua Wei, Haiguang Liu. - Singapore :Springer Singapore :2021. - x, 223 p. :ill., digital ;24 cm. - Springer proceedings in mathematics & statistics,v.3602194-1017 ;. - Springer proceedings in mathematics & statistics ;v.360..

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.

ISBN: 9789811627019

Standard No.: 10.1007/978-981-16-2701-9doiSubjects--Topical Terms:

623655
Image processing
--Congresses.

LC Class. No.: TA1637.5 / .I58 2018

Dewey Class. No.: 621.367

Mathematical methods in image processing and inverse problems = IPIP 2018, Beijing, China, April 21-24 /
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