Proximal Splitting Methods in Signal Processing
@inproceedings{Combettes2011ProximalSM, title={Proximal Splitting Methods in Signal Processing}, author={P. L. Combettes and J. Pesquet}, booktitle={Fixed-Point Algorithms for Inverse Problems in Science and Engineering}, year={2011} }
The proximity operator of a convex function is a natural extension of the notion of a projection operator onto a convex set. This tool, which plays a central role in the analysis and the numerical solution of convex optimization problems, has recently been introduced in the arena of inverse problems and, especially, in signal processing, where it has become increasingly important. In this paper, we review the basic properties of proximity operators which are relevant to signal processing and… CONTINUE READING
Paper Mentions
2,049 Citations
Proximal Activation of Smooth Functions in Splitting Algorithms for Convex Image Recovery
- Computer Science, Mathematics
- SIAM J. Imaging Sci.
- 2019
- 7
- PDF
Fully Proximal Splitting Algorithms In Image Recovery
- Computer Science
- 2019 27th European Signal Processing Conference (EUSIPCO)
- 2019
- 1
Proximal Gradient Algorithms: Applications in Signal Processing
- Computer Science, Engineering
- 2017
- 12
- PDF
A proximal approach for optimization problems involving kullback divergences
- Mathematics, Computer Science
- 2013 IEEE International Conference on Acoustics, Speech and Signal Processing
- 2013
- 5
- PDF
A Proximal Interior Point Algorithm with Applications to Image Processing
- Computer Science
- Journal of Mathematical Imaging and Vision
- 2019
- 3
- PDF
A primal-dual line search method and applications in image processing
- Computer Science, Mathematics
- 2017 25th European Signal Processing Conference (EUSIPCO)
- 2017
- 2
- PDF
A proximal approach for signal recovery based on information measures
- Mathematics, Computer Science
- 21st European Signal Processing Conference (EUSIPCO 2013)
- 2013
- 2
- PDF
Epigraphical splitting for solving constrained convex optimization problems with proximal tools - extended version
- Mathematics
- 2014
- 9
- Highly Influenced
- PDF
Proximal Gradient Algorithm in the Presence of Adjoint Mismatch
- Computer Science
- 2020 28th European Signal Processing Conference (EUSIPCO)
- 2021
- PDF
References
SHOWING 1-10 OF 234 REFERENCES
A proximal decomposition method for solving convex variational inverse problems
- Mathematics
- 2008
- 253
- PDF
Signal Recovery by Proximal Forward-Backward Splitting
- Mathematics, Computer Science
- Multiscale Model. Simul.
- 2005
- 2,216
- PDF
Proximal Thresholding Algorithm for Minimization over Orthonormal Bases
- Mathematics, Computer Science
- SIAM J. Optim.
- 2007
- 182
- PDF
A Douglas–Rachford Splitting Approach to Nonsmooth Convex Variational Signal Recovery
- Mathematics, Computer Science
- IEEE Journal of Selected Topics in Signal Processing
- 2007
- 458
- PDF
Convex Variational Formulation with Smooth Coupling for Multicomponent Signal Decomposition and Recovery
- Mathematics
- 2009
- 31
- PDF
Image Restoration by the Method of Convex Projections: Part 1ߞTheory
- Mathematics, Medicine
- IEEE Transactions on Medical Imaging
- 1982
- 1,091
- Highly Influential
- PDF
Applications of splitting algorithm to decomposition in convex programming and variational inequalities
- Mathematics
- 1991
- 417
- PDF
Extensions of a result on the synthesis of signals in the presence of inconsistent constraints
- Mathematics
- 1986
- 56
Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization
- Mathematics, Computer Science
- IEEE Transactions on Image Processing
- 2011
- 136
- PDF