Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Deep Equilibrium Learning of Explicit Regularization Functionals for Imaging Inverse Problems

Journal Article · · IEEE Open Journal of Signal Processing (Online)
 [1];  [2];  [3];  [1]
  1. Department of Computer Science &, Engineering, Washington University, St. Louis, MO, USA
  2. Department of Electrical &, Systems Engineering, Washington University, St. Louis, MO, USA
  3. Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, USA
Not Available
Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
National Science Foundation (NSF); USDOE; USDOE Laboratory Directed Research and Development (LDRD) Program
Grant/Contract Number:
89233218CNA000001
OSTI ID:
1994422
Alternate ID(s):
OSTI ID: 1993237
OSTI ID: 1994423
Report Number(s):
LA-UR-23-22511; 10184493
Journal Information:
IEEE Open Journal of Signal Processing (Online), Journal Name: IEEE Open Journal of Signal Processing (Online) Vol. 4; ISSN 2644-1322
Publisher:
Institute of Electrical and Electronics EngineersCopyright Statement
Country of Publication:
United States
Language:
English

References (29)

Image Super-Resolution Using Very Deep Residual Channel Attention Networks book January 2018
Convex Optimization book January 2004
NETT: solving inverse problems with deep neural networks journal June 2020
A Novel Learned Primal-Dual Network for Image Compressive Sensing journal January 2021
Learning Deep CNN Denoiser Prior for Image Restoration conference July 2017
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing conference June 2018
Total Deep Variation for Linear Inverse Problems conference June 2020
Plug-and-Play priors for model based reconstruction conference December 2013
Deep Learning Techniques for Inverse Problems in Imaging journal May 2020
Convolutional Neural Networks for Inverse Problems in Imaging: A Review journal November 2017
Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods journal January 2018
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing journal March 2021
Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications journal January 2023
Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications journal January 2023
Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation journal January 2016
Regularization by Denoising: Clarifications and New Interpretations journal March 2019
Block Coordinate Regularization by Denoising journal January 2020
Deep Equilibrium Architectures for Inverse Problems in Imaging journal January 2021
Memory-Efficient Model-Based Deep Learning With Convergence and Robustness Guarantees journal January 2023
An EM algorithm for wavelet-based image restoration journal August 2003
Insights Into Analysis Operator Learning: From Patch-Based Sparse Models to Higher Order MRFs journal March 2014
Fast Single Image Super-Resolution Using a New Analytical Solution for $\ell _{2}$ – $\ell _{2}$ Problems journal August 2016
A Convergent Image Fusion Algorithm Using Scene-Adapted Gaussian-Mixture-Based Denoising journal January 2019
Plug-and-Play Image Restoration With Deep Denoiser Prior journal October 2022
Should Penalized Least Squares Regression be Interpreted as Maximum A Posteriori Estimation? journal May 2011
Fixed Point Strategies in Data Science journal January 2021
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems journal January 2009
The Little Engine That Could: Regularization by Denoising (RED) journal January 2017
JFB: Jacobian-Free Backpropagation for Implicit Networks journal June 2022

Similar Records

CoIL: Coordinate-based Internal Learning for Imaging Inverse Problems
Journal Article · Sun Nov 07 23:00:00 EST 2021 · IEEE Transactions on Computational Imaging · OSTI ID:1883143