Game theory and its applications in imaging and vision
From MaRDI portal
Publication:6606457
DOI10.1007/978-3-030-98661-2_102zbMATH Open1547.94057MaRDI QIDQ6606457
Anis Theljani, Ke Chen, Moez Kallel, Abderrahmane Habbal
Publication date: 16 September 2024
Nash equilibriaimage registrationdeep learningnoncooperative game theoryjoint restoration and segmentation
Artificial neural networks and deep learning (68T07) Computing methodologies for image processing (68U10) Applications of game theory (91A80) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- A topology Nash game for tumoral antiangiogenesis
- A Nash-game approach to joint image restoration and segmentation
- An augmented Lagrangian method for solving a new variational model based on gradients similarity measures and high order regulariation for multimodality registration
- A novel diffeomorphic model for image registration and its algorithm
- Potential games
- A novel high-order functional based image registration model with inequality constraint
- A more robust multigrid algorithm for diffusion type registration models
- Nash strategies for the inverse inclusion Cauchy-Stokes problem
- A survey of static and dynamic potential games
- Stochastic differential games
- Non-cooperative games
- Neumann--Dirichlet Nash Strategies for the Solution of Elliptic Cauchy Problems
- Intensity Nonuniformity Correction for Brain MR Images with Known Voxel Classes
- Optimal approximations by piecewise smooth functions and associated variational problems
- Improved variational image registration model and a fast algorithm for its numerical approximation
- Image and surface registration
- Inverse Consistent Deformable Image Registration
- FAIR
- On relaxation algorithms in computation of noncooperative equilibria
- The $L_{0}$ Regularized Mumford–Shah Model for Bias Correction and Segmentation of Medical Images
- 10.1162/1532443041827880
- 3D Orientation-Preserving Variational Models for Accurate Image Registration
- Landmark- and Intensity-Based Registration with Large Deformations via Quasi-conformal Maps
- A Nash game based variational model for joint image intensity correction and registration to deal with varying illumination
- A Nash game algorithm for the solution of coupled conductivity identification and data completion in cardiac electrophysiology
- Multidisciplinary topology optimization solved as a Nash game
- Equilibrium points in n -person games
- Stochastic Games
- Numerical optimization. Theoretical and practical aspects. Transl. from the French
This page was built for publication: Game theory and its applications in imaging and vision