Iteratively Refined Image Reconstruction with Learned Attentive Regularizers
From MaRDI portal
Publication:6618022
DOI10.1080/01630563.2024.2384849MaRDI QIDQ6618022
Sebastian Neumayer, Author name not available (Why is that?), M. Unser
Publication date: 11 October 2024
Published in: Numerical Functional Analysis and Optimization (Search for Journal in Brave)
Computing methodologies for image processing (68U10) PDEs in connection with computer science (35Q68)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Nonlinear total variation based noise removal algorithms
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- Variational methods in imaging
- Analytical aspects of spatially adapted total variation regularisation
- Accelerated and inexact forward-backward algorithms
- Solution-Driven Adaptive Total Variation Regularization
- A theory for multiresolution signal decomposition: the wavelet representation
- Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning
- NETT: solving inverse problems with deep neural networks
- Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets
- Solving inverse problems using data-driven models
- Learning optimal spatially-dependent regularization parameters in total variation image denoising
- Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems
- Hessian-Based Norm Regularization for Image Restoration With Biomedical Applications
- On the distance between polytopes
- Compressed sensing
- Tangencies and polynomial optimization
- Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling
- Regularising inverse problems with generative machine learning models
- Learning weakly convex regularizers for convergent image-reconstruction algorithms
This page was built for publication: Iteratively Refined Image Reconstruction with Learned Attentive Regularizers
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6618022)