Edge-Promoting Adaptive Bayesian Experimental Design for X-ray Imaging (Q5864076)

scientific article; zbMATH DE number 7537254

Language	Label	Description	Also known as
English	Edge-Promoting Adaptive Bayesian Experimental Design for X-ray Imaging	scientific article; zbMATH DE number 7537254

Statements

instance of

scholarly article

0 references

title

Edge-Promoting Adaptive Bayesian Experimental Design for X-ray Imaging (English)

0 references

0 references

0 references

0 references

SIAM Journal on Scientific Computing

0 references

publication date

3 June 2022

0 references

full work available at URL

https://arxiv.org/abs/2104.00301

0 references

zbMATH Keywords

X-ray tomography

0 references

optimal projections

0 references

Bayesian experimental design

0 references

a-optimality

0 references

D-optimality

0 references

adaptivity

0 references

edge-promoting prior

0 references

lagged diffusivity

0 references

MaRDI profile type

MaRDI publication profile

0 references

cites work

Sparsity-promoting and edge-preserving maximum <i>a posteriori</i> estimators in non-parametric Bayesian inverse problems

0 references

Rates of contraction of posterior distributions based on $p$-exponential priors

0 references

Optimal experimental design for infinite-dimensional Bayesian inverse problems governed by PDEs: a review

0 references

On Bayesian A- and D-optimal experimental designs in infinite dimensions

0 references

A-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems with Regularized $\ell_0$-Sparsification

0 references

A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems

0 references

Optimal Design of Large-scale Bayesian Linear Inverse Problems Under Reducible Model Uncertainty: Good to Know What You Don't Know

0 references

Efficient D-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems

0 references

A Sequential Sensor Selection Strategy for Hyper-Parameterized Linear Bayesian Inverse Problems

0 references

Iterated preconditioned LSQR method for inverse problems on unstructured grids

0 references

Goal-oriented optimal design of experiments for large-scale Bayesian linear inverse problems

0 references

Q4556297

0 references

Fast Bayesian experimental design: Laplace-based importance sampling for the expected information gain

0 references

Q4337604

0 references

Sequentially optimized projections in x-ray imaging <sup>*</sup>

0 references

Introduction to Bayesian Scientific Computing

0 references

Hypermodels in the Bayesian imaging framework

0 references

Bayesian experimental design: A review

0 references

On the Convergence of the Lagged Diffusivity Fixed Point Method in Total Variation Image Restoration

0 references

A-optimal encoding weights for nonlinear inverse problems, with application to the Helmholtz inverse problem

0 references

Convergence of an Iterative Method for Total Variation Denoising

0 references

Adaptive A-Optimal Experimental Design for Linear Dynamical Systems

0 references

Numerical methods for experimental design of large-scale linear ill-posed inverse problems

0 references

Numerical methods for the design of large-scale nonlinear discrete ill-posed inverse problems

0 references

Numerical methods for $A$-optimal designs with a sparsity constraint for ill-posed inverse problems

0 references

Edge-Enhancing Reconstruction Algorithm for Three-Dimensional Electrical Impedance Tomography

0 references

Optimizing Electrode Positions in Electrical Impedance Tomography

0 references

Statistical and computational inverse problems.

0 references

Guided Bayesian optimal experimental design

0 references

Discretization-invariant Bayesian inversion and Besov space priors

0 references

Can one use total variation prior for edge-preserving Bayesian inversion?

0 references

Fast Bayesian optimal experimental design for seismic source inversion

0 references

Fast estimation of expected information gains for Bayesian experimental designs based on Laplace approximations

0 references

Nonlocal TV-Gaussian prior for Bayesian inverse problems with applications to limited CT reconstruction

0 references

Mathematical Methods in Image Reconstruction

0 references

Optimal Design of Experiments

0 references

Singularities of the X-Ray Transform and Limited Data Tomography in $\mathbb{R}^2 $ and $\mathbb{R}^3 $

0 references

Nonlinear total variation based noise removal algorithms

0 references

Optimal Experimental Design for Inverse Problems with State Constraints

0 references

A Review of Modern Computational Algorithms for Bayesian Optimal Design

0 references

Variational methods in imaging

0 references

Inverse problems: A Bayesian perspective

0 references

Iterative Methods for Total Variation Denoising

0 references

Bayesian Inverse Problems with $l_1$ Priors: A Randomize-Then-Optimize Approach

0 references

A TV-Gaussian prior for infinite-dimensional Bayesian inverse problems and its numerical implementations

0 references

Identifiers

zbMATH Open document ID

1493.62463

0 references

DOI

10.1137/21M1409330

0 references

Mathematics Subject Classification ID

0 references

0 references

0 references

0 references

0 references

0 references

0 references

0 references

Sitelinks

Mathematics(1 entry)

mardi Publication:5864076