Pages that link to "Item:Q1991033"
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The following pages link to Mathematical image processing. Translated from the German (Q1991033):
Displaying 28 items.
- Strip-method for image and signal transformation (Q649646) (← links)
- Convergence properties of a randomized primal-dual algorithm with applications to parallel MRI (Q826182) (← links)
- Image processing based on partial differential equations. Proceedings of the international conference on PDE-based image processing and related inverse problems, CMA, Oslo, Norway, August 8--12, 2005 (Q858630) (← links)
- Inexact derivative-free optimization for bilevel learning (Q2036198) (← links)
- Chambolle-Pock's primal-dual method with mismatched adjoint (Q2682364) (← links)
- \(p\)-adic cellular neural networks: applications to image processing (Q2688082) (← links)
- Handbook of Mathematical Methods in Imaging (Q3644408) (← links)
- (Q3992527) (← links)
- Regularization graphs—a unified framework for variational regularization of inverse problems (Q5043655) (← links)
- Total Variation-Based Reconstruction and Phase Retrieval for Diffraction Tomography (Q5043736) (← links)
- (Q5054622) (← links)
- A Generative Variational Model for Inverse Problems in Imaging (Q5065477) (← links)
- Optimality conditions, approximate stationarity, and applications – a story beyond lipschitzness (Q5093796) (← links)
- Higher-order total variation approaches and generalisations (Q5139310) (← links)
- Approximation of the Mumford–Shah functional by phase fields of bounded variation (Q5856313) (← links)
- Shared Prior Learning of Energy-Based Models for Image Reconstruction (Q5860383) (← links)
- A Novel Density Based Approach for Topology Optimization of Stokes Flow (Q5886862) (← links)
- Mathematical problems in image processing. Partial differential equations and the calculus of variations. Foreword by Olivier Faugeras (Q5955191) (← links)
- A generalized conditional gradient method for dynamic inverse problems with optimal transport regularization (Q6101266) (← links)
- Bayesian Inverse Problems Are Usually Well-Posed (Q6115454) (← links)
- Asymptotic linear convergence of fully-corrective generalized conditional gradient methods (Q6126647) (← links)
- A Note on the Regularity of Images Generated by Convolutional Neural Networks (Q6136232) (← links)
- Regularising inverse problems with generative machine learning models (Q6154435) (← links)
- Characterizing digital microstructures by the Minkowski‐based quadratic normal tensor (Q6182028) (← links)
- Template-based image reconstruction facing different topologies (Q6191359) (← links)
- An anisotropic variational pansharpening model with adaptive coefficients (Q6587558) (← links)
- Multi-modality imaging with structure-promoting regularizers (Q6606447) (← links)
- Hierarchical neural networks, \(p\)-adic PDEs, and applications to image processing (Q6632335) (← links)