Yiqiu Dong

J. Math. Imaging Vis., December, 2024

The Optimal Weights of Non-local Means for Variance Stabilized Noise Removal.

[BibT_eX]

[DOI]

J. Sci. Comput., November, 2024

Certified coordinate selection for high-dimensional Bayesian inversion with Laplace prior.

[BibT_eX]

[DOI]

Stat. Comput., August, 2024

Local MALA-within-Gibbs for Bayesian image deblurring with total variation prior.

[BibT_eX]

[DOI]

CoRR, 2024

Sampling Strategies in Bayesian Inversion: A Study of RTO and Langevin Methods.

[BibT_eX]

[DOI]

Remi Laumont

Martin S. Andersen

CoRR, 2024

2023

Bayesian Inference with Projected Densities.

[BibT_eX]

[DOI]

Jasper M. Everink

Martin S. Andersen

SIAM/ASA J. Uncertain. Quantification, September, 2023

Horseshoe Priors for Edge-Preserving Linear Bayesian Inversion.

[BibT_eX]

[DOI]

Felipe Uribe

SIAM J. Sci. Comput., June, 2023

Uncertainty Quantification of Inclusion Boundaries in the Context of X-Ray Tomography.

[BibT_eX]

[DOI]

Babak Maboudi Afkham

SIAM/ASA J. Uncertain. Quantification, March, 2023

Inferring Features with Uncertain Roughness.

[BibT_eX]

[DOI]

Babak Maboudi Afkham

CoRR, 2023

Regularized Material Decomposition for K-edge Separation in Hyperspectral Computed Tomography.

[BibT_eX]

[DOI]

Francesca Bevilacqua

Jakob Sauer Jørgensen

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

2022

A Hybrid Gibbs Sampler for Edge-Preserving Tomographic Reconstruction with Uncertain View Angles.

[BibT_eX]

[DOI]

Felipe Uribe

Johnathan M. Bardsley

SIAM/ASA J. Uncertain. Quantification, March, 2022

2021

Computed Tomography Reconstruction with Uncertain View Angles by Iteratively Updated Model Discrepancy.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2021

A fast method for simultaneous reconstruction and segmentation in X-ray CT application.

[BibT_eX]

[DOI]

Chunlin Wu

Shi Yan

CoRR, 2021

GMM Based Simultaneous Reconstruction and Segmentation in X-Ray CT Application.

[BibT_eX]

[DOI]

Shi Yan

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

2020

Deep Multi-Level Wavelet-CNN Denoiser Prior for Restoring Blurred Image With Cauchy Noise.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2020

2019

Fixing Nonconvergence of Algebraic Iterative Reconstruction with an Unmatched Backprojector.

[BibT_eX]

[DOI]

Michiel E. Hochstenbach

SIAM J. Sci. Comput., 2019

Hybrid enriched bidiagonalization for discrete ill-posed problems.

[BibT_eX]

[DOI]

Kuniyoshi Abe

Numer. Linear Algebra Appl., 2019

Simultaneous image fusion and denoising by using fractional-order gradient information.

[BibT_eX]

[DOI]

Jin-Jin Mei

Ting-Zhu Huang

J. Comput. Appl. Math., 2019

Contrast Invariant SNR and Isotonic Regressions.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2019

A New Iterative Method for CT Reconstruction with Uncertain View Angles.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

An Iteration Method for X-Ray CT Reconstruction from Variable-Truncation Projection Data.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

2018

Joint CT Reconstruction and Segmentation With Discriminative Dictionary Learning.

[BibT_eX]

[DOI]

Hans Martin Kjer

IEEE Trans. Computational Imaging, 2018

Cauchy Noise Removal by Nonconvex ADMM with Convergence Guarantees.

[BibT_eX]

[DOI]

J. Sci. Comput., 2018

Guest Editorial: Scale Space and Variational Methods.

[BibT_eX]

[DOI]

François Lauze

Anders Bjorholm Dahl

J. Math. Imaging Vis., 2018

2017

Tomographic Reconstruction Methods for Decomposing Directional Components.

[BibT_eX]

[DOI]

Rasmus Dalgas Kongskov

CoRR, 2017

Directional Total Generalized Variation Regularization for Impulse Noise Removal.

[BibT_eX]

[DOI]

Rasmus Dalgas Kongskov

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

User-Friendly Simultaneous Tomographic Reconstruction and Segmentation with Class Priors.

[BibT_eX]

[DOI]

Hans Martin Kjer

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

2015

Variational Approach for Restoring Blurred Images with Cauchy Noise.

[BibT_eX]

[DOI]

Federica Sciacchitano

Tieyong Zeng

SIAM J. Imaging Sci., 2015

An algorithm for total variation regularized photoacoustic imaging.

[BibT_eX]

[DOI]

Torsten Görner

Stefan Kunis

Adv. Comput. Math., 2015

2013

A Convex Variational Model for Restoring Blurred Images with Multiplicative Noise.

[BibT_eX]

[DOI]

Tieyong Zeng

SIAM J. Imaging Sci., 2013

Spatially dependent regularization parameter selection in total generalized variation models for image restoration.

[BibT_eX]

[DOI]

Kristian Bredies

Int. J. Comput. Math., 2013

2011

Automated Regularization Parameter Selection in Multi-Scale Total Variation Models for Image Restoration.

[BibT_eX]

[DOI]

M. Monserrat Rincon-Camacho

J. Math. Imaging Vis., 2011

A Multi-Scale Vectorial Lτ-TV Framework for Color Image Restoration.

[BibT_eX]

[DOI]

M. Monserrat Rincon-Camacho

Int. J. Comput. Vis., 2011

2010

An Efficient Two-Phase L1-TV Method for Restoring Blurred Images with Impulse Noise.

[BibT_eX]

[DOI]

Raymond H. Chan

IEEE Trans. Image Process., 2010

2009

An Efficient Primal-Dual Method for L1TV Image Restoration.

[BibT_eX]

[DOI]

Marrick Neri

SIAM J. Imaging Sci., 2009

Multi-scale Total Variation with Automated Regularization Parameter Selection for Color Image Restoration.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

2007

A Detection Statistic for Random-Valued Impulse Noise.

[BibT_eX]

[DOI]

Raymond H. Chan

Shufang Xu

IEEE Trans. Image Process., 2007

A New Directional Weighted Median Filter for Removal of Random-Valued Impulse Noise.

[BibT_eX]

[DOI]