Sequential edge detection using joint hierarchical Bayesian learning
From MaRDI portal
Publication:6111678
DOI10.1007/s10915-023-02297-0arXiv2302.14247MaRDI QIDQ6111678
Yao Xiao, Anne Gelb, Guohui Song
Publication date: 4 August 2023
Published in: Journal of Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2302.14247
Bayesian inference (62F15) Ill-posedness and regularization problems in numerical linear algebra (65F22) Numerical optimization and variational techniques (65K10) Computing methodologies for image processing (68U10)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- Image reconstruction from undersampled Fourier data using the polynomial annihilation transform
- Sparsity enforcing edge detection method for blurred and noisy Fourier data
- Iterative design of concentration factors for jump detection
- Enhancing sparsity by reweighted \(\ell _{1}\) minimization
- Image reconstruction from Fourier data using sparsity of edges
- Detection of edges in spectral data
- Detecting edges from non-uniform Fourier data using Fourier frames
- Reducing effects of bad data using variance based joint sparsity recovery
- Statistical and computational inverse problems.
- Automated parameter selection for total variation minimization in image restoration
- Sequential image recovery from noisy and under-sampled Fourier data
- Edge-adaptive \( \ell_2\) regularization image reconstruction from non-uniform Fourier data
- Detection of Edges in Spectral Data II. Nonlinear Enhancement
- MCMC-Based Image Reconstruction with Uncertainty Quantification
- Accurate and Efficient Image Reconstruction from Multiple Measurements of Fourier Samples
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
- Removing camera shake from a single photograph
- 10.1162/15324430152748236
- Bayesian and regularization methods for hyperparameter estimation in image restoration
- An Empirical Bayesian Strategy for Solving the Simultaneous Sparse Approximation Problem
- Theoretical Results on Sparse Representations of Multiple-Measurement Vectors
- Simultaneous Bayesian Sparse Approximation With Structured Sparse Models
- Hierachical Bayesian models and sparsity: ℓ 2 -magic
- Joint Sparse Recovery Based on Variances
- Robust Recovery of Signals From a Structured Union of Subspaces
- Empirical Bayesian Inference Using a Support Informed Prior
- Sparsity Promoting Hybrid Solvers for Hierarchical Bayesian Inverse Problems
- Sparse reconstructions from few noisy data: analysis of hierarchical Bayesian models with generalized gamma hyperpriors
- Latent Variable Bayesian Models for Promoting Sparsity
- Sparse Bayesian Learning for Basis Selection
- Sparse solutions to linear inverse problems with multiple measurement vectors
- Introduction to Bayesian Scientific Computing
- Stable signal recovery from incomplete and inaccurate measurements
- Compressed sensing
- Generalized Sparse Bayesian Learning and Application to Image Reconstruction
- Sequential image recovery using joint hierarchical Bayesian learning
This page was built for publication: Sequential edge detection using joint hierarchical Bayesian learning