書目名稱 | Computational Methods for Inverse Problems in Imaging |
編輯 | Marco Donatelli,Stefano Serra-Capizzano |
視頻video | http://file.papertrans.cn/233/232724/232724.mp4 |
概述 | Presents structured regularizing preconditioners for image deblurring.Discusses applications in astronomical and medical imaging.Includes a chapter on variable metric first-order methods |
叢書名稱 | Springer INdAM Series |
圖書封面 |  |
描述 | .This book presents recent mathematical methods in the area of inverse problems in imaging with a particular focus on the computational aspects and applications. The formulation of inverse problems in imaging requires accurate mathematical modeling in order to preserve the significant features of the image. The book describes computational methods to efficiently address these problems based on new optimization algorithms for smooth and nonsmooth convex minimization, on the use of structured (numerical) linear algebra, and on multilevel techniques. It also discusses various current and challenging applications in fields such as astronomy, microscopy, and biomedical imaging. The book is intended for researchers and advanced graduate students interested in inverse problems and imaging.. |
出版日期 | Book 2019 |
關(guān)鍵詞 | Image reconstruction; Inverse problems; Regularization; Optimization methods; Computational Methods |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-030-32882-5 |
isbn_softcover | 978-3-030-32884-9 |
isbn_ebook | 978-3-030-32882-5Series ISSN 2281-518X Series E-ISSN 2281-5198 |
issn_series | 2281-518X |
copyright | Springer Nature Switzerland AG 2019 |