恃强凌弱 发表于 2025-3-25 03:51:40

Marco Donatelli,Stefano Serra-CapizzanoPresents structured regularizing preconditioners for image deblurring.Discusses applications in astronomical and medical imaging.Includes a chapter on variable metric first-order methods

jabber 发表于 2025-3-25 11:30:11

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BIAS 发表于 2025-3-25 13:26:00

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音乐会 发表于 2025-3-25 18:36:11

Structure Preserving Preconditioning for Frame-Based Image Deblurring,nvestigated both in Hilbert and Banach spaces. For deconvolution problems, the classical approach defines preconditioners based on the circular convolution. On the other hand, for . regularization methods, it has been recently shown that a preconditioner preserving the structure of the convolution o

纵火 发表于 2025-3-26 00:02:18

Non-stationary Structure-Preserving Preconditioning for Image Restoration, discrete ill-posed problems. This paper explores how these preconditioners can be combined with the flexible GMRES iterative method. A new structure-respecting strategy to construct a sequence of regularizing preconditioners is proposed. We show that flexible GMRES applied with these preconditioner

钻孔 发表于 2025-3-26 03:53:02

Numerical Investigation of the Spectral Distribution of Toeplitz-Function Sequences,differential equations. Extensive study has been carried out for Toeplitz matrices . as well as Toeplitz-function matrices ., where .(.) is a certain function. Owing to its importance in developing effective preconditioning approaches, their spectral distribution associated with Lebesgue integrable

Initial 发表于 2025-3-26 04:43:00

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不可磨灭 发表于 2025-3-26 09:22:58

Multiple Image Deblurring with High Dynamic-Range Poisson Data,urces superimposed to smooth structures. A few methods have been proposed for dealing with this problem and their performance is not always satisfactory. In this paper we propose a solution based on the representation, already proposed elsewhere, of the image as the sum of a pointwise component and

neuron 发表于 2025-3-26 14:50:24

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敲诈 发表于 2025-3-26 20:29:47

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