A review of the fractal image coding literature. - Brendt Wohlberg; Gerhard de Jager (IEEE Trans. Image Process., 1999)

A class of multiresolution stochastic models generating self-affine images. - Brendt Wohlberg; Gerhard de Jager (IEEE Trans. Signal Process., 1999)

Resolution scalability for arbitrary wavelet transforms in the JPEG-2000 standard. - Christopher M. Brislawn; Brendt Wohlberg; Allon G. Percus (VCIP, 2003)

Reversible integer-to-integer transforms and symmetric extension of even-length filter banks. - Brendt Wohlberg; Christopher M. Brislawn (VCIP, 2003)

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

Subsurface characterization with support vector machines. - Brendt Wohlberg; Daniel M. Tartakovsky; Alberto Guadagnini (IEEE Trans. Geosci. Remote. Sens., 2006)

The polyphase-with-advance representation and linear phase lifting factorizations. - Christopher M. Brislawn; Brendt Wohlberg (IEEE Trans. Signal Process., 2006)

Gain normalization of lifted filter banks. - Christopher M. Brislawn; Brendt Wohlberg (Signal Process., 2007)

An Iteratively Reweighted Norm Algorithm for Minimization of Total Variation Functionals. - Brendt Wohlberg; Paul Rodríguez 001 (IEEE Signal Process. Lett., 2007)

Symmetric extension for lifted filter banks and obstructions to reversible implementation. - Brendt Wohlberg; Christopher M. Brislawn (Signal Process., 2008)

Inpainting with sparse linear combinations of exemplars. - Brendt Wohlberg (ICASSP, 2009)

AN l1-TV algorithm for deconvolution with salt and pepper noise. - Brendt Wohlberg; Paul Rodríguez 001 (ICASSP, 2009)

A generalized vector-valued total variation algorithm. - Paul Rodríguez 001; Brendt Wohlberg (ICIP, 2009)

Improved change detection with local co-registration adjustments. - Brendt Wohlberg; James Theiler (WHISPERS, 2009)

Efficient Minimization Method for a Generalized Total Variation Functional. - Paul Rodríguez 001; Brendt Wohlberg (IEEE Trans. Image Process., 2009)

Symmetrized local co-registration optimization for anomalous change detection. - Brendt Wohlberg; James Theiler (Computational Imaging, 2010)

Total-variation regularization with bound constraints. - Rick Chartrand; Brendt Wohlberg (ICASSP, 2010)

Elliptically Contoured Distributions for Anomalous Change Detection in Hyperspectral Imagery. - James Theiler; Clint Scovel; Brendt Wohlberg; Bernard R. Foy (IEEE Geosci. Remote. Sens. Lett., 2010)

UPRE method for total variation parameter selection. - Youzuo Lin; Brendt Wohlberg; Hongbin Guo (Signal Process., 2010)

Inpainting by Joint Optimization of Linear Combinations of Exemplars. - Brendt Wohlberg (IEEE Signal Process. Lett., 2011)

MIxed gaussian-impulse noise image restoration via total variation. - Paul Rodríguez 001; Renán Rojas; Brendt Wohlberg (ICASSP, 2012)

Local principal component pursuit for nonlinear datasets. - Brendt Wohlberg; Rick Chartrand; James Theiler (ICASSP, 2012)

A comparison of the computational performance of Iteratively Reweighted Least Squares and alternating minimization algorithms for ℓ1 inverse problems. - Paul Rodríguez 001; Brendt Wohlberg (ICIP, 2012)

Detection of spectrally sparse anomalies in hyperspectral imagery. - James Theiler; Brendt Wohlberg (SSIAI, 2012)

Local Coregistration Adjustment for Anomalous Change Detection. - James Theiler; Brendt Wohlberg (IEEE Trans. Geosci. Remote. Sens., 2012)

Plug-and-Play priors for model based reconstruction. - Singanallur V. Venkatakrishnan; Charles A. Bouman; Brendt Wohlberg (GlobalSIP, 2013)

A nonconvex ADMM algorithm for group sparsity with sparse groups. - Rick Chartrand; Brendt Wohlberg (ICASSP, 2013)

Fast principal component pursuit via alternating minimization. - Paul Rodríguez 001; Brendt Wohlberg (ICIP, 2013)

Regression framework for background estimation in remote sensing imagery. - James Theiler; Brendt Wohlberg (WHISPERS, 2013)

Change detection in streams of signals with sparse representations. - Cesare Alippi; Giacomo Boracchi; Brendt Wohlberg (ICASSP, 2014)

Task-driven dictionary learning for inpainting. - Huiyi Hu; Brendt Wohlberg; Rick Chartrand (ICASSP, 2014)

Efficient convolutional sparse coding. - Brendt Wohlberg (ICASSP, 2014)

Video background modeling under impulse noise. - Paul Rodríguez 001; Brendt Wohlberg (ICIP, 2014)

Performance comparison of iterative reweighting methods for total variation regularization. - Paul Rodríguez 001; Brendt Wohlberg (ICIP, 2014)

A Matlab implementation of a fast incremental principal component pursuit algorithm for Video Background Modeling. - Paul Rodríguez 001; Brendt Wohlberg (ICIP, 2014)

Endogenous convolutional sparse representations for translation invariant image subspace models. - Brendt Wohlberg (ICIP, 2014)

Novelty detection in images by sparse representations. - Giacomo Boracchi; Diego Carrera; Brendt Wohlberg (IES, 2014)

Seeing the Earth in the Cloud: Processing one petabyte of satellite imagery in one day. - Michael S. Warren; Steven P. Brumby; Samuel W. Skillman; Tim Kelton; Brendt Wohlberg; Mark Mathis; Rick Chartrand; Ryan Keisler; Mark Johnson (AIPR, 2015)

Informed monaural source separation of music based on convolutional sparse coding. - Ping-Keng Jao; Yi-Hsuan Yang; Brendt Wohlberg (ICASSP, 2015)

Translational and rotational jitter invariant incremental principal component pursuit for video background modeling. - Paul Rodríguez 001; Brendt Wohlberg (ICIP, 2015)

Detecting anomalous structures by convolutional sparse models. - Diego Carrera; Giacomo Boracchi; Alessandro Foi; Brendt Wohlberg (IJCNN, 2015)

Piano music transcription with fast convolutional sparse coding. - Andrea Cogliati; Zhiyao Duan; Brendt Wohlberg (MLSP, 2015)

Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation. - Suhas Sreehari; S. V. Venkatakrishnan 001; Brendt Wohlberg; Lawrence F. Drummy; Jeffrey P. Simmons; Charles A. Bouman (CoRR, 2015)

Ghosting suppression for incremental principal component pursuit algorithms. - Paul Rodríguez 001; Brendt Wohlberg (GlobalSIP, 2016)

Pansharpening via coupled triple factorization dictionary learning. - Erik Skau; Brendt Wohlberg; Hamid Krim; Liyi Dai (ICASSP, 2016)

Scale-invariant anomaly detection with multiscale group-sparse models. - Diego Carrera; Giacomo Boracchi; Alessandro Foi; Brendt Wohlberg (ICIP, 2016)

Boundary handling for convolutional sparse representations. - Brendt Wohlberg (ICIP, 2016)

Convolutional sparse representations as an image model for impulse noise restoration. - Brendt Wohlberg (IVMSP, 2016)

Convolutional Laplacian sparse coding. - Xiyang Luo; Brendt Wohlberg (SSIAI, 2016)

Convolutional sparse representation of color images. - Brendt Wohlberg (SSIAI, 2016)

Model Complexity, Regularization, and Sparsity [Guest Editorial]. - Cesare Alippi; Giacomo Boracchi; Brendt Wohlberg (IEEE Comput. Intell. Mag., 2016)

Incremental Principal Component Pursuit for Video Background Modeling. - Paul Rodríguez 001; Brendt Wohlberg (J. Math. Imaging Vis., 2016)

Context-Dependent Piano Music Transcription With Convolutional Sparse Coding. - Andrea Cogliati; Zhiyao Duan; Brendt Wohlberg (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Monaural Music Source Separation Using Convolutional Sparse Coding. - Ping-Keng Jao; Li Su 004; Yi-Hsuan Yang; Brendt Wohlberg (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation. - Suhas Sreehari; S. V. Venkatakrishnan 001; Brendt Wohlberg; Gregery T. Buzzard; Lawrence F. Drummy; Jeffrey P. Simmons; Charles A. Bouman (IEEE Trans. Computational Imaging, 2016)

Efficient Algorithms for Convolutional Sparse Representations. - Brendt Wohlberg (IEEE Trans. Image Process., 2016)

Fast convolutional sparse coding with separable filters. - Gustavo Silva; Jorge Quesada; Paul Rodríguez 001; Brendt Wohlberg (ICASSP, 2017)

Subproblem coupling in convolutional dictionary learning. - Cristina Garcia-Cardona; Brendt Wohlberg (ICIP, 2017)

ADMM penalty parameter selection with krylov subspace recycling technique for sparse coding. - Youzuo Lin; Brendt Wohlberg; Velimir V. Vesselinov (ICIP, 2017)

Online convolutional dictionary learning. - Jialin Liu 003; Cristina Garcia-Cardona; Brendt Wohlberg; Wotao Yin (ICIP, 2017)

SPORCO: A Python package for standard and convolutional sparse representations. - Brendt Wohlberg (SciPy, 2017)

ADMM Penalty Parameter Selection by Residual Balancing. - Brendt Wohlberg (CoRR, 2017)

Convolutional Sparse Coding: Boundary Handling Revisited. - Brendt Wohlberg; Paul Rodríguez 001 (CoRR, 2017)

Convolutional Sparse Coding with Overlapping Group Norms. - Brendt Wohlberg (CoRR, 2017)

Convolutional Dictionary Learning. - Cristina Garcia-Cardona; Brendt Wohlberg (CoRR, 2017)

Sparse Overcomplete Denoising: Aggregation Versus Global Optimization. - Diego Carrera; Giacomo Boracchi; Alessandro Foi; Brendt Wohlberg (IEEE Signal Process. Lett., 2017)

Piano Transcription With Convolutional Sparse Lateral Inhibition. - Andrea Cogliati; Zhiyao Duan; Brendt Wohlberg (IEEE Signal Process. Lett., 2017)

A Plug-and-Play Priors Approach for Solving Nonlinear Imaging Inverse Problems. - Ulugbek S. Kamilov; Hassan Mansour; Brendt Wohlberg (IEEE Signal Process. Lett., 2017)

Convolutional Dictionary Learning for Multi-Channel Signals. - Cristina Garcia-Cardona; Brendt Wohlberg (ACSSC, 2018)

Learning Multi-Layer Transform Models. - Saiprasad Ravishankar; Brendt Wohlberg (Allerton, 2018)

Fast Projection onto the 𝓁∞, 1-Mixed Norm Ball Using Steffensen Root Search. - Gustavo Chau; Brendt Wohlberg; Paul Rodríguez 001 (ICASSP, 2018)

Separable Dictionary Learning for Convolutional Sparse Coding via Split Updates. - Jorge Quesada; Paul Rodríguez 001; Brendt Wohlberg (ICASSP, 2018)

Convolutional Sparse Representations with Gradient Penalties. - Brendt Wohlberg (ICASSP, 2018)

A Fast Parallel Algorithm for Convolutional Sparse Coding. - Erik Skau; Brendt Wohlberg (IVMSP, 2018)

Plug-In Stochastic Gradient Method. - Yu Sun 022; Brendt Wohlberg; Ulugbek S. Kamilov (CoRR, 2018)

First- and Second-Order Methods for Online Convolutional Dictionary Learning. - Jialin Liu 003; Cristina Garcia-Cardona; Brendt Wohlberg; Wotao Yin (SIAM J. Imaging Sci., 2018)

Convolutional Dictionary Learning: A Comparative Review and New Algorithms. - Cristina Garcia-Cardona; Brendt Wohlberg (IEEE Trans. Computational Imaging, 2018)

A Novel Algorithm for Skeleton Extraction From Images Using Topological Graph Analysis. - Liping Yang 002; Diane Oyen; Brendt Wohlberg (CVPR Workshops, 2019)

Regularized Fourier Ptychography Using an Online Plug-and-play Algorithm. - Yu Sun 022; Shiqi Xu; Yunzhe Li 002; Lei Tian 005; Brendt Wohlberg; Ulugbek S. Kamilov (ICASSP, 2019)

Convolutional Dictionary Regularizers for Tomographic Inversion. - S. V. Venkatakrishnan 001; Brendt Wohlberg (ICASSP, 2019)

A Topological Graph-Based Representation for Denoising Low Quality Binary Images. - Catherine Potts; Liping Yang 002; Diane Oyen; Brendt Wohlberg (ICCV Workshops, 2019)

Multi-layer Residual Sparsifying Transform Learning for Image Reconstruction. - Xuehang Zheng; Saiprasad Ravishankar; Yong Long; Marc Louis Klasky; Brendt Wohlberg (CoRR, 2019)

Efficient Projection onto the ℓ∞, 1 Mixed-Norm Ball Using a Newton Root Search Method. - Gustavo Chau; Brendt Wohlberg; Paul Rodríguez 001 (SIAM J. Imaging Sci., 2019)

An Online Plug-and-Play Algorithm for Regularized Image Reconstruction. - Yu Sun 022; Brendt Wohlberg; Ulugbek S. Kamilov (IEEE Trans. Computational Imaging, 2019)

Boosting the Performance of Plug-and-Play Priors via Denoiser Scaling. - Xiaojian Xu 002; Jiaming Liu 001; Yu Sun 022; Brendt Wohlberg; Ulugbek S. Kamilov (ACSSC, 2020)

Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning. - Manish Bhattarai; Diane Oyen; Juan Castorena; Liping Yang 002; Brendt Wohlberg (CVPR Workshops, 2020)

Two-Layer Residual Sparsifying Transform Learning for Image Reconstruction. - Xuehang Zheng; Saiprasad Ravishankar; Yong Long; Marc Louis Klasky; Brendt Wohlberg (ISBI, 2020)

How Good Is Your Scientific Data Generative Model? - Yuxin Yang 001; Ben Gremillion; Xitong Zhang; Youzuo Lin; Brendt Wohlberg; Qiang Guan (MLHPC/AI4S@SC, 2020)

Data-driven Methods for Solving Large-scale Inverse Problems with Applications to Subsurface Imaging. - Youzuo Lin; James Theiler; Brendt Wohlberg; Yue Wu 009; Zhongping Zhang (SSIAI, 2020)

TGGLines: A Robust Topological Graph Guided Line Segment Detector for Low Quality Binary Images. - Ming Gong; Liping Yang 002; Catherine Potts; Vijayan K. Asari; Diane Oyen; Brendt Wohlberg (CoRR, 2020)

Scalable Plug-and-Play ADMM with Convergence Guarantees. - Yu Sun 022; Zihui Wu; Brendt Wohlberg; Ulugbek S. Kamilov (CoRR, 2020)

Joint Reconstruction and Calibration using Regularization by Denoising. - Mingyang Xie; Yu Sun 022; Jiaming Liu 001; Brendt Wohlberg; Ulugbek S. Kamilov (CoRR, 2020)

Provable Convergence of Plug-and-Play Priors With MMSE Denoisers. - Xiaojian Xu 002; Yu Sun 022; Jiaming Liu 001; Brendt Wohlberg; Ulugbek S. Kamilov (IEEE Signal Process. Lett., 2020)

Projected Multi-Agent Consensus Equilibrium for Ptychographic Image Reconstruction. - Qiuchen Zhai; Brendt Wohlberg; Gregery T. Buzzard; Charles A. Bouman (ACSCC, 2021)

Stochastic Deep Unfolding for Imaging Inverse Problems. - Jiaming Liu 001; Yu Sun 022; Weijie Gan; Xiaojian Xu 002; Brendt Wohlberg; Ulugbek S. Kamilov (ICASSP, 2021)

Joint Reconstruction and Calibration Using Regularization by Denoising with Application to Computed Tomography. - Mingyang Xie; Jiaming Liu 001; Yu Sun 022; Weijie Gan; Brendt Wohlberg; Ulugbek S. Kamilov (ICCVW, 2021)

Hyperspectral Neutron CT with Material Decomposition. - Thilo Balke; Alexander M. Long; Sven C. Vogel; Brendt Wohlberg; Charles A. Bouman (ICIP, 2021)

Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors. - Yu Sun 022; Jiaming Liu 001; Yiran Sun; Brendt Wohlberg; Ulugbek Kamilov (ICLR, 2021)

Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition. - Jiaming Liu 001; M. Salman Asif; Brendt Wohlberg; Ulugbek Kamilov (NeurIPS, 2021)

InversionNet3D: Efficient and Scalable Learning for 3D Full Waveform Inversion. - Qili Zeng; Shihang Feng; Brendt Wohlberg; Youzuo Lin (CoRR, 2021)

Randomized Algorithms for Scientific Computing (RASC). - Aydin Buluç; Tamara G. Kolda; Stefan M. Wild; Mihai Anitescu; Anthony M. DeGennaro; John Jakeman; Chandrika Kamath 001; Ramakrishnan Kannan; Miles E. Lopes; Per-Gunnar Martinsson; Kary L. Myers; Jelani Nelson; et al. (CoRR, 2021)

Connect the Dots: In Situ 4D Seismic Monitoring of CO2 Storage with Spatio-temporal CNNs. - Shihang Feng; Xitong Zhang; Brendt Wohlberg; Neill Symons; Youzuo Lin (CoRR, 2021)

PSF Estimation in Crowded Astronomical Imagery as a Convolutional Dictionary Learning Problem. - Brendt Wohlberg; Przemek R. Wozniak (IEEE Signal Process. Lett., 2021)

SGD-Net: Efficient Model-Based Deep Learning With Theoretical Guarantees. - Jiaming Liu 001; Yu Sun 022; Weijie Gan; Xiaojian Xu 002; Brendt Wohlberg; Ulugbek S. Kamilov (IEEE Trans. Computational Imaging, 2021)

CoIL: Coordinate-Based Internal Learning for Tomographic Imaging. - Yu Sun 022; Jiaming Liu 001; Mingyang Xie; Brendt Wohlberg; Ulugbek S. Kamilov (IEEE Trans. Computational Imaging, 2021)

Scalable Plug-and-Play ADMM With Convergence Guarantees. - Yu Sun 022; Zihui Wu; Xiaojian Xu 002; Brendt Wohlberg; Ulugbek S. Kamilov (IEEE Trans. Computational Imaging, 2021)

A Consensus Equilibrium Approach for 3-D Land Seismic Shots Recovery. - Paul Goyes-Peñafiel; Edwin Vargas; Claudia V. Correa P.; William Agudelo; Brendt Wohlberg; Henry Arguello (IEEE Geosci. Remote. Sens. Lett., 2022)

Physics-Consistent Data-Driven Waveform Inversion With Adaptive Data Augmentation. - Renán Rojas-Gómez; Jihyun Yang; Youzuo Lin; James Theiler; Brendt Wohlberg (IEEE Geosci. Remote. Sens. Lett., 2022)

Multiscale Data-Driven Seismic Full-Waveform Inversion With Field Data Study. - Shihang Feng; Youzuo Lin; Brendt Wohlberg (IEEE Trans. Geosci. Remote. Sens., 2022)

Connect the Dots: In Situ 4-D Seismic Monitoring of CO2 Storage With Spatio-Temporal CNNs. - Shihang Feng; Xitong Zhang; Brendt Wohlberg; Neill Symons; Youzuo Lin (IEEE Trans. Geosci. Remote. Sens., 2022)

InversionNet3D: Efficient and Scalable Learning for 3-D Full-Waveform Inversion. - Qili Zeng; Shihang Feng; Brendt Wohlberg; Youzuo Lin (IEEE Trans. Geosci. Remote. Sens., 2022)

Scientific Computational Imaging Code (SCICO). - Thilo Balke; Fernando Davis; Cristina Garcia-Cardona; Soumendu Majee; Michael T. McCann; Luke Pfister; Brendt Wohlberg (J. Open Source Softw., 2022)

PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction. - Weijie Gan; Qiuchen Zhai; Michael Thompson McCann; Cristina Garcia-Cardona; Ulugbek S. Kamilov; Brendt Wohlberg (CoRR, 2023)

Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications. - Ulugbek S. Kamilov; Charles A. Bouman; Gregery T. Buzzard; Brendt Wohlberg (IEEE Signal Process. Mag., 2023)

Physics-Guided Data-Driven Seismic Inversion: Recent progress and future opportunities in full-waveform inversion. - Youzuo Lin; James Theiler; Brendt Wohlberg (IEEE Signal Process. Mag., 2023)

Projected Multi-Agent Consensus Equilibrium (PMACE) With Application to Ptychography. - Qiuchen Zhai; Gregery T. Buzzard; Kevin Mertes; Brendt Wohlberg; Charles A. Bouman (IEEE Trans. Computational Imaging, 2023)

Coordinate-Based Seismic Interpolation in Irregular Land Survey: A Deep Internal Learning Approach. - Paul Goyes-Peñafiel; Edwin Vargas; Claudia V. Correa P.; Yu Sun 022; Ulugbek S. Kamilov; Brendt Wohlberg; Henry Arguello (IEEE Trans. Geosci. Remote. Sens., 2023)

The Foundations of Computational Imaging: A signal processing perspective. - W. Clem Karl; James E. Fowler; Charles A. Bouman; Müjdat Çetin; Brendt Wohlberg; Jong Chul Ye (IEEE Signal Process. Mag., 2023)

Physics and Deep Learning in Computational Wave Imaging. - Youzuo Lin; Shihang Feng; James Theiler; Yinpeng Chen; Umberto Villa; Jing Rao; John James Greenhall; Cristian Pantea; Mark A. Anastasio; Brendt Wohlberg (CoRR, 2024)

Random Walks with Tweedie: A Unified Framework for Diffusion Models. - Chicago Y. Park; Michael T. McCann; Cristina Garcia-Cardona; Brendt Wohlberg; Ulugbek S. Kamilov (CoRR, 2024)

Plug-and-Play Priors as a Score-Based Method. - Chicago Y. Park; Yuyang Hu; Michael T. McCann; Cristina Garcia-Cardona; Brendt Wohlberg; Ulugbek S. Kamilov (CoRR, 2024)

TRINIDI: Time-of-Flight Resonance Imaging With Neutrons for Isotopic Density Inference. - Thilo Balke; Alexander M. Long; Sven C. Vogel; Brendt Wohlberg; Charles A. Bouman (IEEE Trans. Computational Imaging, 2024)

Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography. - Luke Lozenski; Hanchen Wang 003; Fu Li; Mark A. Anastasio; Brendt Wohlberg; Youzuo Lin; Umberto Villa (IEEE Trans. Computational Imaging, 2024)