TY  - GEN
AB  - 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.
AU  - Tai, Xue-Cheng,
AU  - Wei, Suhua,
AU  - Liu, Haiguang,
CN  - TA1637.5
DO  - 10.1007/978-981-16-2701-9
DO  - doi
ID  - 1439936
KW  - Image processing
KW  - Image processing
KW  - Inverse problems (Differential equations)
KW  - Traitement d'images
KW  - Traitement d'images
KW  - Problèmes inverses (Équations différentielles)
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-2701-9
N1  - International conference proceedings.
N1  - Includes author index.
N2  - 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.
SN  - 9789811627019
SN  - 9811627010
T1  - Mathematical methods in image processing and inverse problems :IPIP 2018, Beijing, China, April 21-24 /
TI  - Mathematical methods in image processing and inverse problems :IPIP 2018, Beijing, China, April 21-24 /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-2701-9
VL  - volume 360
ER  -