An efficient conjugate gradient-based algorithm for unconstrained optimization and its projection extension to large-scale constrained nonlinear equations with applications in signal recovery and image denoising problems.
Xiaoyu WuHu ShaoPengjie LiuYan ZhangYue ZhuoPublished in: J. Comput. Appl. Math. (2023)
Keyphrases
- image denoising
- nonlinear equations
- denoising
- dynamic programming
- np hard
- natural images
- expectation maximization
- constrained optimization
- convergence rate
- objective function
- computer vision
- linear programming
- energy function
- higher order
- optimal solution
- noisy images
- regularization parameter
- augmented lagrangian
- image processing