A conjugate gradient algorithm based on double parameter scaled Broyden-Fletcher-Goldfarb-Shanno update for optimization problems and image restoration.
Dan LuoYong LiJunyu LuGonglin YuanPublished in: Neural Comput. Appl. (2022)
Keyphrases
- image restoration
- conjugate gradient algorithm
- optimization problems
- regularization parameter
- total variation
- conjugate gradient
- evolutionary algorithm
- cost function
- edge preserving
- markov random field
- image processing
- learning rate
- super resolution
- regularization framework
- gaussian noise
- objective function
- optimization methods
- image segmentation
- edge detection
- convergence analysis
- computational complexity