Brendt Wohlberg

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Los Alamos National Laboratory ∙ IEEE

Joint Reconstruction and Calibration using Regularization by Denoising

Regularization by denoising (RED) is a broadly applicable framework for ...
11/26/2020 ∙ by Mingyang Xie, et al. ∙ 5 ∙ share

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Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors

Regularization by denoising (RED) is a recently developed framework for ...
10/03/2020 ∙ by Yu Sun, et al. ∙ 0 ∙ share

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Physics-Consistent Data-driven Waveform Inversion with Adaptive Data Augmentation

Seismic full-waveform inversion (FWI) is a nonlinear computational imagi...
09/03/2020 ∙ by Renán Rojas-Gómez, et al. ∙ 0 ∙ share

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Scalable Plug-and-Play ADMM with Convergence Guarantees

Plug-and-play priors (PnP) is a broadly applicable methodology for solvi...
06/05/2020 ∙ by Yu Sun, et al. ∙ 7 ∙ share

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Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning

Resolution of the complex problem of image retrieval for diagram images ...
04/22/2020 ∙ by Manish Bhattarai, et al. ∙ 0 ∙ share

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TGGLines: A Robust Topological Graph Guided Line Segment Detector for Low Quality Binary Images

Line segment detection is an essential task in computer vision and image...
02/27/2020 ∙ by Ming Gong, et al. ∙ 4 ∙ share

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Multi-layer Residual Sparsifying Transform Learning for Image Reconstruction

Signal models based on sparsity, low-rank and other properties have been...
06/01/2019 ∙ by Xuehang Zheng, et al. ∙ 0 ∙ share

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Plug-In Stochastic Gradient Method

Plug-and-play priors (PnP) is a popular framework for regularized signal...
11/08/2018 ∙ by Yu Sun, et al. ∙ 0 ∙ share

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Regularized Fourier Ptychography using an Online Plug-and-Play Algorithm

The plug-and-play priors (PnP) framework has been recently shown to achi...
10/31/2018 ∙ by Yu Sun, et al. ∙ 0 ∙ share

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Learning Multi-Layer Transform Models

Learned data models based on sparsity are widely used in signal processi...
10/19/2018 ∙ by Saiprasad Ravishankar, et al. ∙ 0 ∙ share

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An Online Plug-and-Play Algorithm for Regularized Image Reconstruction

Plug-and-play priors (PnP) is a powerful framework for regularizing imag...
09/12/2018 ∙ by Yu Sun, et al. ∙ 0 ∙ share

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Convolutional Dictionary Learning

Convolutional sparse representations are a form of sparse representation...
09/09/2017 ∙ by Cristina Garcia-Cardona, et al. ∙ 0 ∙ share

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Online Convolutional Dictionary Learning

Convolutional sparse representations are a form of sparse representation...
08/31/2017 ∙ by Jialin Liu, et al. ∙ 0 ∙ share

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Convolutional Sparse Coding: Boundary Handling Revisited

Two different approaches have recently been proposed for boundary handli...
07/20/2017 ∙ by Brendt Wohlberg, et al. ∙ 0 ∙ share

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Convolutional Sparse Representations with Gradient Penalties

While convolutional sparse representations enjoy a number of useful prop...
05/12/2017 ∙ by Brendt Wohlberg, et al. ∙ 0 ∙ share

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Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation

Many material and biological samples in scientific imaging are character...
12/23/2015 ∙ by Suhas Sreehari, et al. ∙ 0 ∙ share

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Brendt Wohlberg

Featured Co-authors

Yu Sun

Jialin Liu

Wotao Yin

Ming Gong

Ulugbek S. Kamilov

Saiprasad Ravishankar

Jiaming Liu

Vijayan K. Asari

Yong Long

Charles A. Bouman

Diane Oyen

Joint Reconstruction and Calibration using Regularization by Denoising

Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors

Physics-Consistent Data-driven Waveform Inversion with Adaptive Data Augmentation

Scalable Plug-and-Play ADMM with Convergence Guarantees

Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning

TGGLines: A Robust Topological Graph Guided Line Segment Detector for Low Quality Binary Images

Multi-layer Residual Sparsifying Transform Learning for Image Reconstruction

Plug-In Stochastic Gradient Method

Regularized Fourier Ptychography using an Online Plug-and-Play Algorithm

Learning Multi-Layer Transform Models

An Online Plug-and-Play Algorithm for Regularized Image Reconstruction

Convolutional Dictionary Learning

Online Convolutional Dictionary Learning

Convolutional Sparse Coding: Boundary Handling Revisited

Convolutional Sparse Representations with Gradient Penalties

Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation