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ORCIDBrendt Wohlberg
Brendt E. Wohlberg
Person information
- affiliation: Los Alamos National Laboratory, Los Alamos, NM, USA
- affiliation (PhD 1996): University of Cape Town, Cape Town, South Africa
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2020 – today
- 2025
[j47]Chicago Y. Park
, Michael T. McCann, Cristina Garcia-Cardona, Brendt Wohlberg, Ulugbek S. Kamilov:
Random Walks With Tweedie: A Unified View of Score-Based Diffusion Models [In the Spotlight]. IEEE Signal Process. Mag. 42(3): 40-51 (2025)- [j46]Edward P. Chandler, Shirin Shoushtari, Brendt Wohlberg, Ulugbek S. Kamilov:
Closed-Form Approximation of the Total Variation Proximal Operator. IEEE Trans. Computational Imaging 11: 1217-1228 (2025) - [j45]Qiuchen Zhai, Gregery T. Buzzard, Kevin M. Mertes, Brendt Wohlberg, Charles A. Bouman:
Ptychography Using Blind Multi-Mode PMACE. IEEE Trans. Computational Imaging 11: 1320-1335 (2025) - [i29]Edward P. Chandler, Shirin Shoushtari, Brendt Wohlberg, Ulugbek S. Kamilov:
Analysis Plug-and-Play Methods for Imaging Inverse Problems. CoRR abs/2509.15422 (2025) - 2024
- [j44]Luke Lozenski, Hanchen Wang, Fu Li, Mark A. Anastasio, Brendt Wohlberg, Youzuo Lin, Umberto Villa:
Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography. IEEE Trans. Computational Imaging 10: 69-82 (2024) - [j43]Thilo Balke, Alexander M. Long, Sven C. Vogel, Brendt Wohlberg, Charles A. Bouman:
TRINIDI: Time-of-Flight Resonance Imaging With Neutrons for Isotopic Density Inference. IEEE Trans. Computational Imaging 10: 154-169 (2024) - [i28]Youzuo Lin, Shihang Feng, James Theiler, Yinpeng Chen, Umberto Villa, Jing Rao, John James Greenhall, Cristian Pantea, Mark A. Anastasio, Brendt Wohlberg:
Physics and Deep Learning in Computational Wave Imaging. CoRR abs/2410.08329 (2024) - [i27]Chicago Y. Park, Michael T. McCann, Cristina Garcia-Cardona, Brendt Wohlberg, Ulugbek S. Kamilov:
Random Walks with Tweedie: A Unified Framework for Diffusion Models. CoRR abs/2411.18702 (2024) - [i26]Chicago Y. Park, Yuyang Hu, Michael T. McCann, Cristina Garcia-Cardona, Brendt Wohlberg, Ulugbek S. Kamilov:
Plug-and-Play Priors as a Score-Based Method. CoRR abs/2412.11108 (2024) - 2023
- [j42]Ulugbek S. Kamilov, Charles A. Bouman, Gregery T. Buzzard, Brendt Wohlberg:
Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications. IEEE Signal Process. Mag. 40(1): 85-97 (2023) - [j41]Youzuo Lin, James Theiler, Brendt Wohlberg:
Physics-Guided Data-Driven Seismic Inversion: Recent progress and future opportunities in full-waveform inversion. IEEE Signal Process. Mag. 40(1): 115-133 (2023) - [j40]W. Clem Karl, James E. Fowler, Charles A. Bouman, Müjdat Çetin, Brendt Wohlberg, Jong Chul Ye:
The Foundations of Computational Imaging: A signal processing perspective. IEEE Signal Process. Mag. 40(5): 40-53 (2023) - [j39]Qiuchen Zhai, Gregery T. Buzzard, Kevin Mertes, Brendt Wohlberg, Charles A. Bouman:
Projected Multi-Agent Consensus Equilibrium (PMACE) With Application to Ptychography. IEEE Trans. Computational Imaging 9: 1058-1070 (2023) - [j38]Paul Goyes-Peñafiel, Edwin Vargas, Claudia V. Correa P., Yu Sun, Ulugbek S. Kamilov, Brendt Wohlberg, Henry Arguello:
Coordinate-Based Seismic Interpolation in Irregular Land Survey: A Deep Internal Learning Approach. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [i25]Weijie Gan, Qiuchen Zhai, Michael Thompson McCann, Cristina Garcia-Cardona, Ulugbek S. Kamilov, Brendt Wohlberg:
PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction. CoRR abs/2310.07504 (2023) - 2022
- [j37]Thilo Balke, Fernando Davis, Cristina Garcia-Cardona, Soumendu Majee, Michael T. McCann, Luke Pfister, Brendt Wohlberg:
Scientific Computational Imaging Code (SCICO). J. Open Source Softw. 7(78): 4722 (2022) - [j36]Paul Goyes-Peñafiel, Edwin Vargas, Claudia V. Correa P., William Agudelo, Brendt Wohlberg, Henry Arguello:
A Consensus Equilibrium Approach for 3-D Land Seismic Shots Recovery. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j35]Renán Rojas-Gómez, Jihyun Yang, Youzuo Lin, James Theiler, Brendt Wohlberg:
Physics-Consistent Data-Driven Waveform Inversion With Adaptive Data Augmentation. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j34]Shihang Feng, Youzuo Lin, Brendt Wohlberg:
Multiscale Data-Driven Seismic Full-Waveform Inversion With Field Data Study. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j33]Shihang Feng, Xitong Zhang, Brendt Wohlberg, Neill Symons, Youzuo Lin:
Connect the Dots: In Situ 4-D Seismic Monitoring of CO2 Storage With Spatio-Temporal CNNs. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j32]Qili Zeng, Shihang Feng, Brendt Wohlberg, Youzuo Lin:
InversionNet3D: Efficient and Scalable Learning for 3-D Full-Waveform Inversion. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - 2021
- [j31]Brendt Wohlberg, Przemek R. Wozniak:
PSF Estimation in Crowded Astronomical Imagery as a Convolutional Dictionary Learning Problem. IEEE Signal Process. Lett. 28: 374-378 (2021) - [j30]Jiaming Liu, Yu Sun, Weijie Gan, Xiaojian Xu, Brendt Wohlberg, Ulugbek S. Kamilov:
SGD-Net: Efficient Model-Based Deep Learning With Theoretical Guarantees. IEEE Trans. Computational Imaging 7: 598-610 (2021) - [j29]Yu Sun, Zihui Wu, Xiaojian Xu, Brendt Wohlberg, Ulugbek S. Kamilov:
Scalable Plug-and-Play ADMM With Convergence Guarantees. IEEE Trans. Computational Imaging 7: 849-863 (2021) - [j28]Yu Sun, Jiaming Liu, Mingyang Xie, Brendt Wohlberg, Ulugbek S. Kamilov:
CoIL: Coordinate-Based Internal Learning for Tomographic Imaging. IEEE Trans. Computational Imaging 7: 1400-1412 (2021) - [c63]Qiuchen Zhai, Brendt Wohlberg, Gregery T. Buzzard, Charles A. Bouman:
Projected Multi-Agent Consensus Equilibrium for Ptychographic Image Reconstruction. ACSCC 2021: 1694-1698 - [c62]Jiaming Liu, Yu Sun, Weijie Gan, Xiaojian Xu, Brendt Wohlberg, Ulugbek S. Kamilov:
Stochastic Deep Unfolding for Imaging Inverse Problems. ICASSP 2021: 1395-1399 - [c61]Mingyang Xie, Jiaming Liu, Yu Sun, Weijie Gan, Brendt Wohlberg, Ulugbek S. Kamilov:
Joint Reconstruction and Calibration Using Regularization by Denoising with Application to Computed Tomography. ICCVW 2021: 4011-4020 - [c60]Thilo Balke, Alexander M. Long, Sven C. Vogel, Brendt Wohlberg, Charles A. Bouman:
Hyperspectral Neutron CT with Material Decomposition. ICIP 2021: 3482-3486 - [c59]Yu Sun, Jiaming Liu, Yiran Sun, Brendt Wohlberg, Ulugbek Kamilov:
Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors. ICLR 2021 - [c58]Jiaming Liu, M. Salman Asif, Brendt Wohlberg, Ulugbek Kamilov:
Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition. NeurIPS 2021: 5921-5933 - [i24]Jiaming Liu, Yu Sun, Weijie Gan, Xiaojian Xu, Brendt Wohlberg, Ulugbek S. Kamilov:
SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees. CoRR abs/2101.09379 (2021) - [i23]Qili Zeng, Shihang Feng, Brendt Wohlberg, Youzuo Lin:
InversionNet3D: Efficient and Scalable Learning for 3D Full Waveform Inversion. CoRR abs/2103.14158 (2021) - [i22]Aydin Buluç, Tamara G. Kolda, Stefan M. Wild, Mihai Anitescu, Anthony M. DeGennaro, John Jakeman, Chandrika Kamath, Ramakrishnan Kannan, Miles E. Lopes, Per-Gunnar Martinsson, Kary L. Myers, Jelani Nelson, Juan M. Restrepo, C. Seshadhri, Draguna L. Vrabie, Brendt Wohlberg, Stephen J. Wright, Chao Yang, Peter Zwart:
Randomized Algorithms for Scientific Computing (RASC). CoRR abs/2104.11079 (2021) - [i21]Shihang Feng, Xitong Zhang, Brendt Wohlberg, Neill Symons, Youzuo Lin:
Connect the Dots: In Situ 4D Seismic Monitoring of CO2 Storage with Spatio-temporal CNNs. CoRR abs/2105.11622 (2021) - [i20]Jiaming Liu, M. Salman Asif, Brendt Wohlberg, Ulugbek S. Kamilov:
Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition. CoRR abs/2106.03668 (2021) - 2020
- [j27]Xiaojian Xu, Yu Sun, Jiaming Liu, Brendt Wohlberg, Ulugbek S. Kamilov:
Provable Convergence of Plug-and-Play Priors With MMSE Denoisers. IEEE Signal Process. Lett. 27: 1280-1284 (2020) - [c57]Xiaojian Xu, Jiaming Liu, Yu Sun, Brendt Wohlberg, Ulugbek S. Kamilov:
Boosting the Performance of Plug-and-Play Priors via Denoiser Scaling. ACSSC 2020: 1305-1312 - [c56]Manish Bhattarai, Diane Oyen, Juan Castorena, Liping Yang, Brendt Wohlberg:
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning. CVPR Workshops 2020: 663-672 - [c55]Xuehang Zheng, Saiprasad Ravishankar, Yong Long, Marc Louis Klasky, Brendt Wohlberg:
Two-Layer Residual Sparsifying Transform Learning for Image Reconstruction. ISBI 2020: 174-177 - [c54]Yuxin Yang, Ben Gremillion, Xitong Zhang, Youzuo Lin, Brendt Wohlberg, Qiang Guan:
How Good Is Your Scientific Data Generative Model? MLHPC/AI4S@SC 2020: 96-102 - [c53]Youzuo Lin, James Theiler, Brendt Wohlberg, Yue Wu, Zhongping Zhang:
Data-driven Methods for Solving Large-scale Inverse Problems with Applications to Subsurface Imaging. SSIAI 2020: 13 - [i19]Ming Gong, Liping Yang, Catherine Potts, Vijayan K. Asari, Diane Oyen, Brendt Wohlberg:
TGGLines: A Robust Topological Graph Guided Line Segment Detector for Low Quality Binary Images. CoRR abs/2002.12428 (2020) - [i18]Manish Bhattarai, Diane Oyen, Juan Castorena, Liping Yang, Brendt Wohlberg:
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning. CoRR abs/2004.10780 (2020) - [i17]Yu Sun, Zihui Wu, Brendt Wohlberg, Ulugbek S. Kamilov:
Scalable Plug-and-Play ADMM with Convergence Guarantees. CoRR abs/2006.03224 (2020) - [i16]Renán Rojas-Gómez, Jihyun Yang, Youzuo Lin, James Theiler, Brendt Wohlberg:
Physics-Consistent Data-driven Waveform Inversion with Adaptive Data Augmentation. CoRR abs/2009.01807 (2020) - [i15]Yu Sun, Jiaming Liu, Yiran Sun, Brendt Wohlberg, Ulugbek S. Kamilov:
Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors. CoRR abs/2010.01446 (2020) - [i14]Mingyang Xie, Yu Sun, Jiaming Liu, Brendt Wohlberg, Ulugbek S. Kamilov:
Joint Reconstruction and Calibration using Regularization by Denoising. CoRR abs/2011.13391 (2020)
2010 – 2019
- 2019
- [j26]Gustavo Chau, Brendt Wohlberg, Paul Rodríguez:
Efficient Projection onto the ℓ∞, 1 Mixed-Norm Ball Using a Newton Root Search Method. SIAM J. Imaging Sci. 12(1): 604-623 (2019) - [j25]Yu Sun, Brendt Wohlberg, Ulugbek S. Kamilov:
An Online Plug-and-Play Algorithm for Regularized Image Reconstruction. IEEE Trans. Computational Imaging 5(3): 395-408 (2019) - [c52]Liping Yang, Diane Oyen, Brendt Wohlberg:
A Novel Algorithm for Skeleton Extraction From Images Using Topological Graph Analysis. CVPR Workshops 2019: 1162-1166 - [c51]Yu Sun, Shiqi Xu, Yunzhe Li, Lei Tian, Brendt Wohlberg, Ulugbek S. Kamilov:
Regularized Fourier Ptychography Using an Online Plug-and-play Algorithm. ICASSP 2019: 7665-7669 - [c50]S. V. Venkatakrishnan, Brendt Wohlberg:
Convolutional Dictionary Regularizers for Tomographic Inversion. ICASSP 2019: 7820-7824 - [c49]Catherine Potts, Liping Yang, Diane Oyen, Brendt Wohlberg:
A Topological Graph-Based Representation for Denoising Low Quality Binary Images. ICCV Workshops 2019: 1788-1798 - [i13]Xuehang Zheng, Saiprasad Ravishankar, Yong Long, Marc Louis Klasky, Brendt Wohlberg:
Multi-layer Residual Sparsifying Transform Learning for Image Reconstruction. CoRR abs/1906.00165 (2019) - 2018
- [j24]Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin:
First- and Second-Order Methods for Online Convolutional Dictionary Learning. SIAM J. Imaging Sci. 11(2): 1589-1628 (2018) - [j23]Cristina Garcia-Cardona, Brendt Wohlberg:
Convolutional Dictionary Learning: A Comparative Review and New Algorithms. IEEE Trans. Computational Imaging 4(3): 366-381 (2018) - [c48]Cristina Garcia-Cardona, Brendt Wohlberg:
Convolutional Dictionary Learning for Multi-Channel Signals. ACSSC 2018: 335-342 - [c47]Saiprasad Ravishankar, Brendt Wohlberg:
Learning Multi-Layer Transform Models. Allerton 2018: 160-165 - [c46]Jorge Quesada, Paul Rodríguez, Brendt Wohlberg:
Separable Dictionary Learning for Convolutional Sparse Coding via Split Updates. ICASSP 2018: 4094-4098 - [c45]Gustavo Chau, Brendt Wohlberg, Paul Rodríguez:
Fast Projection onto the 𝓁∞, 1-Mixed Norm Ball Using Steffensen Root Search. ICASSP 2018: 4694-4698 - [c44]Brendt Wohlberg:
Convolutional Sparse Representations with Gradient Penalties. ICASSP 2018: 6528-6532 - [c43]Erik Skau, Brendt Wohlberg:
A Fast Parallel Algorithm for Convolutional Sparse Coding. IVMSP 2018: 1-5 - [i12]Yu Sun, Brendt Wohlberg, Ulugbek S. Kamilov:
An Online Plug-and-Play Algorithm for Regularized Image Reconstruction. CoRR abs/1809.04693 (2018) - [i11]Saiprasad Ravishankar, Brendt Wohlberg:
Learning Multi-Layer Transform Models. CoRR abs/1810.08323 (2018) - [i10]Yu Sun, Shiqi Xu, Yunzhe Li, Lei Tian, Brendt Wohlberg, Ulugbek S. Kamilov:
Regularized Fourier Ptychography using an Online Plug-and-Play Algorithm. CoRR abs/1811.00120 (2018) - [i9]Yu Sun, Brendt Wohlberg, Ulugbek S. Kamilov:
Plug-In Stochastic Gradient Method. CoRR abs/1811.03659 (2018) - 2017
- [j22]Andrea Cogliati, Zhiyao Duan, Brendt Wohlberg:
Piano Transcription With Convolutional Sparse Lateral Inhibition. IEEE Signal Process. Lett. 24(4): 392-396 (2017) - [j21]Diego Carrera, Giacomo Boracchi, Alessandro Foi, Brendt Wohlberg:
Sparse Overcomplete Denoising: Aggregation Versus Global Optimization. IEEE Signal Process. Lett. 24(10): 1468-1472 (2017) - [j20]Ulugbek S. Kamilov, Hassan Mansour, Brendt Wohlberg:
A Plug-and-Play Priors Approach for Solving Nonlinear Imaging Inverse Problems. IEEE Signal Process. Lett. 24(12): 1872-1876 (2017) - [c42]Gustavo Silva, Jorge Quesada, Paul Rodríguez, Brendt Wohlberg:
Fast convolutional sparse coding with separable filters. ICASSP 2017: 6035-6039 - [c41]Cristina Garcia-Cardona, Brendt Wohlberg:
Subproblem coupling in convolutional dictionary learning. ICIP 2017: 1697-1701 - [c40]Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin:
Online convolutional dictionary learning. ICIP 2017: 1707-1711 - [c39]Youzuo Lin, Brendt Wohlberg, Velimir V. Vesselinov:
ADMM penalty parameter selection with krylov subspace recycling technique for sparse coding. ICIP 2017: 1945-1949 - [c38]Brendt Wohlberg:
SPORCO: A Python package for standard and convolutional sparse representations. SciPy 2017: 1-8 - [i8]Brendt Wohlberg:
ADMM Penalty Parameter Selection by Residual Balancing. CoRR abs/1704.06209 (2017) - [i7]Brendt Wohlberg:
Convolutional Sparse Representations with Gradient Penalties. CoRR abs/1705.04407 (2017) - [i6]Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin:
Online Convolutional Dictionary Learning. CoRR abs/1706.09563 (2017) - [i5]Brendt Wohlberg, Paul Rodríguez:
Convolutional Sparse Coding: Boundary Handling Revisited. CoRR abs/1707.06718 (2017) - [i4]Brendt Wohlberg:
Convolutional Sparse Coding with Overlapping Group Norms. CoRR abs/1708.09038 (2017) - [i3]Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin:
Online Convolutional Dictionary Learning. CoRR abs/1709.00106 (2017) - [i2]Cristina Garcia-Cardona, Brendt Wohlberg:
Convolutional Dictionary Learning. CoRR abs/1709.02893 (2017) - 2016
- [j19]Cesare Alippi, Giacomo Boracchi, Brendt Wohlberg:
Model Complexity, Regularization, and Sparsity [Guest Editorial]. IEEE Comput. Intell. Mag. 11(4): 12-13 (2016) - [j18]Paul Rodríguez, Brendt Wohlberg:
Incremental Principal Component Pursuit for Video Background Modeling. J. Math. Imaging Vis. 55(1): 1-18 (2016) - [j17]Ping-Keng Jao, Li Su, Yi-Hsuan Yang, Brendt Wohlberg:
Monaural Music Source Separation Using Convolutional Sparse Coding. IEEE ACM Trans. Audio Speech Lang. Process. 24(11): 2158-2170 (2016) - [j16]Andrea Cogliati, Zhiyao Duan, Brendt Wohlberg:
Context-Dependent Piano Music Transcription With Convolutional Sparse Coding. IEEE ACM Trans. Audio Speech Lang. Process. 24(12): 2218-2230 (2016) - [j15]Suhas Sreehari, S. V. Venkatakrishnan, Brendt Wohlberg, Gregery T. Buzzard, Lawrence F. Drummy, Jeffrey P. Simmons, Charles A. Bouman:
Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation. IEEE Trans. Computational Imaging 2(4): 408-423 (2016) - [j14]Brendt Wohlberg:
Efficient Algorithms for Convolutional Sparse Representations. IEEE Trans. Image Process. 25(1): 301-315 (2016) - [c37]Paul Rodríguez, Brendt Wohlberg:
Ghosting suppression for incremental principal component pursuit algorithms. GlobalSIP 2016: 197-201 - [c36]Erik Skau, Brendt Wohlberg, Hamid Krim, Liyi Dai:
Pansharpening via coupled triple factorization dictionary learning. ICASSP 2016: 1234-1237 - [c35]Brendt Wohlberg:
Boundary handling for convolutional sparse representations. ICIP 2016: 1833-1837 - [c34]Diego Carrera, Giacomo Boracchi, Alessandro Foi, Brendt Wohlberg:
Scale-invariant anomaly detection with multiscale group-sparse models. ICIP 2016: 3892-3896 - [c33]Brendt Wohlberg:
Convolutional sparse representations as an image model for impulse noise restoration. IVMSP 2016: 1-5 - [c32]Brendt Wohlberg:
Convolutional sparse representation of color images. SSIAI 2016: 57-60 - [c31]Xiyang Luo, Brendt Wohlberg:
Convolutional Laplacian sparse coding. SSIAI 2016: 133-136 - 2015
- [c30]Michael S. Warren, Steven P. Brumby, Samuel W. Skillman, Tim Kelton, Brendt Wohlberg, Mark Mathis, Rick Chartrand, Ryan Keisler, Mark Johnson:
Seeing the Earth in the Cloud: Processing one petabyte of satellite imagery in one day. AIPR 2015: 1-12 - [c29]Ping-Keng Jao, Yi-Hsuan Yang, Brendt Wohlberg:
Informed monaural source separation of music based on convolutional sparse coding. ICASSP 2015: 236-240 - [c28]Paul Rodríguez, Brendt Wohlberg:
Translational and rotational jitter invariant incremental principal component pursuit for video background modeling. ICIP 2015: 537-541 - [c27]Diego Carrera, Giacomo Boracchi, Alessandro Foi, Brendt Wohlberg:
Detecting anomalous structures by convolutional sparse models. IJCNN 2015: 1-8 - [c26]Andrea Cogliati, Zhiyao Duan, Brendt Wohlberg:
Piano music transcription with fast convolutional sparse coding. MLSP 2015: 1-6 - [i1]Suhas Sreehari, S. V. Venkatakrishnan, Brendt Wohlberg, Lawrence F. Drummy, Jeffrey P. Simmons, Charles A. Bouman:
Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation. CoRR abs/1512.07331 (2015) - 2014
- [c25]Huiyi Hu, Brendt Wohlberg, Rick Chartrand:
Task-driven dictionary learning for inpainting. ICASSP 2014: 3543-3547 - [c24]Cesare Alippi, Giacomo Boracchi, Brendt Wohlberg:
Change detection in streams of signals with sparse representations. ICASSP 2014: 5252-5256 - [c23]Brendt Wohlberg:
Efficient convolutional sparse coding. ICASSP 2014: 7173-7177 - [c22]Paul Rodríguez, Brendt Wohlberg:
Video background modeling under impulse noise. ICIP 2014: 1041-1045 - [c21]Paul Rodríguez, Brendt Wohlberg:
Performance comparison of iterative reweighting methods for total variation regularization. ICIP 2014: 1758-1762 - [c20]Brendt Wohlberg:
Endogenous convolutional sparse representations for translation invariant image subspace models. ICIP 2014: 2859-2863 - [c19]Paul Rodríguez, Brendt Wohlberg:
A Matlab implementation of a fast incremental principal component pursuit algorithm for Video Background Modeling. ICIP 2014: 3414-3416 - [c18]Giacomo Boracchi, Diego Carrera, Brendt Wohlberg:
Novelty detection in images by sparse representations. IES 2014: 47-54 - 2013
- [c17]Singanallur V. Venkatakrishnan, Charles A. Bouman, Brendt Wohlberg:
Plug-and-Play priors for model based reconstruction. GlobalSIP 2013: 945-948 - [c16]Rick Chartrand, Brendt Wohlberg:
A nonconvex ADMM algorithm for group sparsity with sparse groups. ICASSP 2013: 6009-6013 - [c15]Paul Rodríguez, Brendt Wohlberg:
Fast principal component pursuit via alternating minimization. ICIP 2013: 69-73 - [c14]James Theiler, Brendt Wohlberg:
Regression framework for background estimation in remote sensing imagery. WHISPERS 2013: 1-4 - 2012
- [j13]James Theiler, Brendt Wohlberg:
Local Coregistration Adjustment for Anomalous Change Detection. IEEE Trans. Geosci. Remote. Sens. 50(8): 3107-3116 (2012) - [c13]Paul Rodríguez, Renán Rojas, Brendt Wohlberg:
MIxed gaussian-impulse noise image restoration via total variation. ICASSP 2012: 1077-1080 - [c12]Brendt Wohlberg, Rick Chartrand, James Theiler:
Local principal component pursuit for nonlinear datasets. ICASSP 2012: 3925-3928 - [c11]Paul Rodríguez, Brendt Wohlberg:
A comparison of the computational performance of Iteratively Reweighted Least Squares and alternating minimization algorithms for ℓ1 inverse problems. ICIP 2012: 3069-3072 - [c10]James Theiler, Brendt Wohlberg:
Detection of spectrally sparse anomalies in hyperspectral imagery. SSIAI 2012: 117-120 - 2011
- [j12]Brendt Wohlberg:
Inpainting by Joint Optimization of Linear Combinations of Exemplars. IEEE Signal Process. Lett. 18(1): 75-78 (2011) - 2010
- [j11]James Theiler, Clint Scovel, Brendt Wohlberg, Bernard R. Foy:
Elliptically Contoured Distributions for Anomalous Change Detection in Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 7(2): 271-275 (2010) - [j10]Youzuo Lin, Brendt Wohlberg, Hongbin Guo:
UPRE method for total variation parameter selection. Signal Process. 90(8): 2546-2551 (2010) - [c9]Brendt Wohlberg, James Theiler:
Symmetrized local co-registration optimization for anomalous change detection. Computational Imaging 2010: 753307 - [c8]Rick Chartrand, Brendt Wohlberg:
Total-variation regularization with bound constraints. ICASSP 2010: 766-769
2000 – 2009
- 2009
- [j9]Paul Rodríguez, Brendt Wohlberg:
Efficient Minimization Method for a Generalized Total Variation Functional. IEEE Trans. Image Process. 18(2): 322-332 (2009) - [c7]Brendt Wohlberg:
Inpainting with sparse linear combinations of exemplars. ICASSP 2009: 689-692 - [c6]Brendt Wohlberg, Paul Rodríguez:
AN l1-TV algorithm for deconvolution with salt and pepper noise. ICASSP 2009: 1257-1260 - [c5]Paul Rodríguez, Brendt Wohlberg:
A generalized vector-valued total variation algorithm. ICIP 2009: 1309-1312 - [c4]Brendt Wohlberg, James Theiler:
Improved change detection with local co-registration adjustments. WHISPERS 2009: 1-4 - 2008
- [j8]Brendt Wohlberg, Christopher M. Brislawn:
Symmetric extension for lifted filter banks and obstructions to reversible implementation. Signal Process. 88(1): 131-145 (2008) - 2007
- [j7]Christopher M. Brislawn, Brendt Wohlberg:
Gain normalization of lifted filter banks. Signal Process. 87(6): 1281-1287 (2007) - [j6]Brendt Wohlberg, Paul Rodríguez:
An Iteratively Reweighted Norm Algorithm for Minimization of Total Variation Functionals. IEEE Signal Process. Lett. 14(12): 948-951 (2007) - 2006
- [j5]Brendt Wohlberg, Daniel M. Tartakovsky, Alberto Guadagnini:
Subsurface characterization with support vector machines. IEEE Trans. Geosci. Remote. Sens. 44(1): 47-57 (2006) - [j4]Christopher M. Brislawn, Brendt Wohlberg:
The polyphase-with-advance representation and linear phase lifting factorizations. IEEE Trans. Signal Process. 54(6-1): 2022-2034 (2006) - 2003
- [j3]Brendt Wohlberg:
Noise sensitivity of sparse signal representations: reconstruction error bounds for the inverse problem. IEEE Trans. Signal Process. 51(12): 3053-3060 (2003) - [c3]Andrew M. Fraser, Nicolas W. Hengartner, Kevin R. Vixie, Brendt E. Wohlberg:
Incorporating invariants in Mahalanobis distance based classifiers: application to face recognition. IJCNN 2003: 3118-3123 - [c2]Christopher M. Brislawn, Brendt Wohlberg, Allon G. Percus:
Resolution scalability for arbitrary wavelet transforms in the JPEG-2000 standard. VCIP 2003: 774-784 - [c1]Brendt Wohlberg, Christopher M. Brislawn:
Reversible integer-to-integer transforms and symmetric extension of even-length filter banks. VCIP 2003: 1709-1718
1990 – 1999
- 1999
- [j2]Brendt Wohlberg, Gerhard de Jager:
A review of the fractal image coding literature. IEEE Trans. Image Process. 8(12): 1716-1729 (1999) - [j1]Brendt Wohlberg, Gerhard de Jager:
A class of multiresolution stochastic models generating self-affine images. IEEE Trans. Signal Process. 47(6): 1739-1742 (1999)
Coauthor Index
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