Mathematical Methods in Image Processing and Inverse Problems
IPIP 2018, Beijing, China, April 21–24
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Beschreibung
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.
Includes 11 original research papers by invited speakers at IPIP2018 in honor of Professor Raymond Chan Deals with efficient algorithms and advanced mathematical modeling in imaging processing, data science and inverse problems Provides a good reference for researchers working on imaging science, inverse problems, optimization and PDE
Autor*in
Xue-Cheng Tai
Themen in »Mathematical Methods in Image Processing and Inverse Problems«
Low-Rank Matrix Reconstruction Non-Convex Methods Image Selective Segmentation Models Variational Inpainting Models Traveltime Tomography Gravimetry Emission Tomography Compressive Sensing Convolutional Linear Networks LpCM Variational Shape Decomposition Robust Tensor Completion Defocus Lattice-based Patterned Fabric Inspection