Brendt Wohlberg

Orcid: 0000-0002-4767-1843

Affiliations:
  • Los Alamos National Laboratory, Los Alamos, NM, USA
  • University of Cape Town, Cape Town, South Africa (PhD 1996)


According to our database1, Brendt Wohlberg authored at least 121 papers between 1999 and 2024.

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Bibliography

2024
Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography.
IEEE Trans. Computational Imaging, 2024

TRINIDI: Time-of-Flight Resonance Imaging With Neutrons for Isotopic Density Inference.
IEEE Trans. Computational Imaging, 2024

Physics and Deep Learning in Computational Wave Imaging.
CoRR, 2024

2023
The Foundations of Computational Imaging: A signal processing perspective.
IEEE Signal Process. Mag., July, 2023

Coordinate-Based Seismic Interpolation in Irregular Land Survey: A Deep Internal Learning Approach.
IEEE Trans. Geosci. Remote. Sens., 2023

Projected Multi-Agent Consensus Equilibrium (PMACE) With Application to Ptychography.
IEEE Trans. Computational Imaging, 2023

Physics-Guided Data-Driven Seismic Inversion: Recent progress and future opportunities in full-waveform inversion.
IEEE Signal Process. Mag., 2023

Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications.
IEEE Signal Process. Mag., 2023

PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction.
CoRR, 2023

2022
Scientific Computational Imaging Code (SCICO).
J. Open Source Softw., October, 2022

InversionNet3D: Efficient and Scalable Learning for 3-D Full-Waveform Inversion.
IEEE Trans. Geosci. Remote. Sens., 2022

Connect the Dots: In Situ 4-D Seismic Monitoring of CO<sub>2</sub> Storage With Spatio-Temporal CNNs.
IEEE Trans. Geosci. Remote. Sens., 2022

Multiscale Data-Driven Seismic Full-Waveform Inversion With Field Data Study.
IEEE Trans. Geosci. Remote. Sens., 2022

Physics-Consistent Data-Driven Waveform Inversion With Adaptive Data Augmentation.
IEEE Geosci. Remote. Sens. Lett., 2022

A Consensus Equilibrium Approach for 3-D Land Seismic Shots Recovery.
IEEE Geosci. Remote. Sens. Lett., 2022

2021
Scalable Plug-and-Play ADMM With Convergence Guarantees.
IEEE Trans. Computational Imaging, 2021

CoIL: Coordinate-Based Internal Learning for Tomographic Imaging.
IEEE Trans. Computational Imaging, 2021

SGD-Net: Efficient Model-Based Deep Learning With Theoretical Guarantees.
IEEE Trans. Computational Imaging, 2021

PSF Estimation in Crowded Astronomical Imagery as a Convolutional Dictionary Learning Problem.
IEEE Signal Process. Lett., 2021

Connect the Dots: In Situ 4D Seismic Monitoring of CO<sub>2</sub> Storage with Spatio-temporal CNNs.
CoRR, 2021

Randomized Algorithms for Scientific Computing (RASC).
CoRR, 2021

InversionNet3D: Efficient and Scalable Learning for 3D Full Waveform Inversion.
CoRR, 2021

Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors.
Proceedings of the 9th International Conference on Learning Representations, 2021

Hyperspectral Neutron CT with Material Decomposition.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Joint Reconstruction and Calibration Using Regularization by Denoising with Application to Computed Tomography.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Stochastic Deep Unfolding for Imaging Inverse Problems.
Proceedings of the IEEE International Conference on Acoustics, 2021

Projected Multi-Agent Consensus Equilibrium for Ptychographic Image Reconstruction.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Provable Convergence of Plug-and-Play Priors With MMSE Denoisers.
IEEE Signal Process. Lett., 2020

Joint Reconstruction and Calibration using Regularization by Denoising.
CoRR, 2020

Scalable Plug-and-Play ADMM with Convergence Guarantees.
CoRR, 2020

TGGLines: A Robust Topological Graph Guided Line Segment Detector for Low Quality Binary Images.
CoRR, 2020

Data-driven Methods for Solving Large-scale Inverse Problems with Applications to Subsurface Imaging.
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2020

How Good Is Your Scientific Data Generative Model?
Proceedings of the 6th IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2020

Two-Layer Residual Sparsifying Transform Learning for Image Reconstruction.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Boosting the Performance of Plug-and-Play Priors via Denoiser Scaling.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
An Online Plug-and-Play Algorithm for Regularized Image Reconstruction.
IEEE Trans. Computational Imaging, 2019

Efficient Projection onto the ℓ<sub>∞, 1</sub> Mixed-Norm Ball Using a Newton Root Search Method.
SIAM J. Imaging Sci., 2019

Multi-layer Residual Sparsifying Transform Learning for Image Reconstruction.
CoRR, 2019

A Topological Graph-Based Representation for Denoising Low Quality Binary Images.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Convolutional Dictionary Regularizers for Tomographic Inversion.
Proceedings of the IEEE International Conference on Acoustics, 2019

Regularized Fourier Ptychography Using an Online Plug-and-play Algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Novel Algorithm for Skeleton Extraction From Images Using Topological Graph Analysis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Convolutional Dictionary Learning: A Comparative Review and New Algorithms.
IEEE Trans. Computational Imaging, 2018

First- and Second-Order Methods for Online Convolutional Dictionary Learning.
SIAM J. Imaging Sci., 2018

Plug-In Stochastic Gradient Method.
CoRR, 2018

A Fast Parallel Algorithm for Convolutional Sparse Coding.
Proceedings of the 13th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2018

Convolutional Sparse Representations with Gradient Penalties.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Separable Dictionary Learning for Convolutional Sparse Coding via Split Updates.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Fast Projection onto the 𝓁<sub>∞, 1</sub>-Mixed Norm Ball Using Steffensen Root Search.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Learning Multi-Layer Transform Models.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

Convolutional Dictionary Learning for Multi-Channel Signals.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
A Plug-and-Play Priors Approach for Solving Nonlinear Imaging Inverse Problems.
IEEE Signal Process. Lett., 2017

Piano Transcription With Convolutional Sparse Lateral Inhibition.
IEEE Signal Process. Lett., 2017

Sparse Overcomplete Denoising: Aggregation Versus Global Optimization.
IEEE Signal Process. Lett., 2017

Convolutional Dictionary Learning.
CoRR, 2017

Convolutional Sparse Coding with Overlapping Group Norms.
CoRR, 2017

Convolutional Sparse Coding: Boundary Handling Revisited.
CoRR, 2017

ADMM Penalty Parameter Selection by Residual Balancing.
CoRR, 2017

SPORCO: A Python package for standard and convolutional sparse representations.
Proceedings of the 16th Python in Science Conference 2017, 2017

Online convolutional dictionary learning.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

ADMM penalty parameter selection with krylov subspace recycling technique for sparse coding.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Subproblem coupling in convolutional dictionary learning.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Fast convolutional sparse coding with separable filters.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Efficient Algorithms for Convolutional Sparse Representations.
IEEE Trans. Image Process., 2016

Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation.
IEEE Trans. Computational Imaging, 2016

Monaural Music Source Separation Using Convolutional Sparse Coding.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

Context-Dependent Piano Music Transcription With Convolutional Sparse Coding.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

Incremental Principal Component Pursuit for Video Background Modeling.
J. Math. Imaging Vis., 2016

Model Complexity, Regularization, and Sparsity [Guest Editorial].
IEEE Comput. Intell. Mag., 2016

Convolutional sparse representation of color images.
Proceedings of the 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, 2016

Convolutional Laplacian sparse coding.
Proceedings of the 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, 2016

Convolutional sparse representations as an image model for impulse noise restoration.
Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016

Boundary handling for convolutional sparse representations.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Scale-invariant anomaly detection with multiscale group-sparse models.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Pansharpening via coupled triple factorization dictionary learning.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Ghosting suppression for incremental principal component pursuit algorithms.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation.
CoRR, 2015

Piano music transcription with fast convolutional sparse coding.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Detecting anomalous structures by convolutional sparse models.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Translational and rotational jitter invariant incremental principal component pursuit for video background modeling.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Informed monaural source separation of music based on convolutional sparse coding.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Seeing the Earth in the Cloud: Processing one petabyte of satellite imagery in one day.
Proceedings of the 2015 IEEE Applied Imagery Pattern Recognition Workshop, 2015

2014
Novelty detection in images by sparse representations.
Proceedings of the IEEE Symposium on Intelligent Embedded Systems, 2014

Endogenous convolutional sparse representations for translation invariant image subspace models.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

A Matlab implementation of a fast incremental principal component pursuit algorithm for Video Background Modeling.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Performance comparison of iterative reweighting methods for total variation regularization.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Video background modeling under impulse noise.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Efficient convolutional sparse coding.
Proceedings of the IEEE International Conference on Acoustics, 2014

Task-driven dictionary learning for inpainting.
Proceedings of the IEEE International Conference on Acoustics, 2014

Change detection in streams of signals with sparse representations.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Regression framework for background estimation in remote sensing imagery.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

Fast principal component pursuit via alternating minimization.
Proceedings of the IEEE International Conference on Image Processing, 2013

A nonconvex ADMM algorithm for group sparsity with sparse groups.
Proceedings of the IEEE International Conference on Acoustics, 2013

Plug-and-Play priors for model based reconstruction.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012
Local Coregistration Adjustment for Anomalous Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2012

Detection of spectrally sparse anomalies in hyperspectral imagery.
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2012

A comparison of the computational performance of Iteratively Reweighted Least Squares and alternating minimization algorithms for ℓ1 inverse problems.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Local principal component pursuit for nonlinear datasets.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

MIxed gaussian-impulse noise image restoration via total variation.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Inpainting by Joint Optimization of Linear Combinations of Exemplars.
IEEE Signal Process. Lett., 2011

2010
UPRE method for total variation parameter selection.
Signal Process., 2010

Elliptically Contoured Distributions for Anomalous Change Detection in Hyperspectral Imagery.
IEEE Geosci. Remote. Sens. Lett., 2010

Total-variation regularization with bound constraints.
Proceedings of the IEEE International Conference on Acoustics, 2010

Symmetrized local co-registration optimization for anomalous change detection.
Proceedings of the Computational Imaging VIII, 2010

2009
Efficient Minimization Method for a Generalized Total Variation Functional.
IEEE Trans. Image Process., 2009

Improved change detection with local co-registration adjustments.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

A generalized vector-valued total variation algorithm.
Proceedings of the International Conference on Image Processing, 2009

AN <i>l</i><sup>1</sup>-TV algorithm for deconvolution with salt and pepper noise.
Proceedings of the IEEE International Conference on Acoustics, 2009

Inpainting with sparse linear combinations of exemplars.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Symmetric extension for lifted filter banks and obstructions to reversible implementation.
Signal Process., 2008

2007
An Iteratively Reweighted Norm Algorithm for Minimization of Total Variation Functionals.
IEEE Signal Process. Lett., 2007

Gain normalization of lifted filter banks.
Signal Process., 2007

2006
The polyphase-with-advance representation and linear phase lifting factorizations.
IEEE Trans. Signal Process., 2006

Subsurface characterization with support vector machines.
IEEE Trans. Geosci. Remote. Sens., 2006

2003
Noise sensitivity of sparse signal representations: reconstruction error bounds for the inverse problem.
IEEE Trans. Signal Process., 2003

Reversible integer-to-integer transforms and symmetric extension of even-length filter banks.
Proceedings of the Visual Communications and Image Processing 2003, 2003

Resolution scalability for arbitrary wavelet transforms in the JPEG-2000 standard.
Proceedings of the Visual Communications and Image Processing 2003, 2003

1999
A class of multiresolution stochastic models generating self-affine images.
IEEE Trans. Signal Process., 1999

A review of the fractal image coding literature.
IEEE Trans. Image Process., 1999


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