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Titlebook: Computational Methods for Inverse Problems in Imaging; Marco Donatelli,Stefano Serra-Capizzano Book 2019 Springer Nature Switzerland AG 20

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發(fā)表于 2025-3-21 18:33:41 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Methods for Inverse Problems in Imaging
編輯Marco Donatelli,Stefano Serra-Capizzano
視頻videohttp://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Titlebook: Computational Methods for Inverse Problems in Imaging;  Marco Donatelli,Stefano Serra-Capizzano Book 2019 Springer Nature Switzerland AG 20
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
doihttps://doi.org/10.1007/978-3-030-32882-5
isbn_softcover978-3-030-32884-9
isbn_ebook978-3-030-32882-5Series ISSN 2281-518X Series E-ISSN 2281-5198
issn_series 2281-518X
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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發(fā)表于 2025-3-21 23:10:23 | 只看該作者
Recent Advances in Variable Metric First-Order Methods,be effective in speeding up first-order methods. In this work we deeply analyze a possible way to include a variable metric in first-order methods for the minimization of a functional which can be expressed as the sum of a differentiable term and a nondifferentiable one. Particularly, the strategy d
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The Hough Transform and the Impact of Chronic Leukemia on the Compact Bone Tissue from CT-Images Antrabecular bone contours by using ellipses, and we use the computed semi-axes values to infer information on bone alterations in the population affected by ACLL. The effectiveness of this method is proved against ground truth comparison. We show that features depending on the semi-axes values detect
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https://doi.org/10.1007/978-3-319-96824-7fied to preserve the structure of the coefficient matrix according to the imposed boundary conditions. The structured preconditioner is chosen as an approximation of a regularized inverse of the convolution matrix. Selected numerical experiments show that our preconditioning strategy improves the pr
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發(fā)表于 2025-3-23 03:58:06 | 只看該作者
https://doi.org/10.1057/9781137274366trabecular bone contours by using ellipses, and we use the computed semi-axes values to infer information on bone alterations in the population affected by ACLL. The effectiveness of this method is proved against ground truth comparison. We show that features depending on the semi-axes values detect
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發(fā)表于 2025-3-23 06:12:57 | 只看該作者
https://doi.org/10.1057/9781137274366ges, with specific reference to the Fizeau interferometer LBTI of the Large Binocular Telescope (LBT). The efficacy of the proposed methods is illustrated both on simulated images and on real images, observed with LBTI, of the Jovian moon Io. The software is available at ..
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