A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiser.
Samuel HuraultAntonin ChambolleArthur LeclaireNicolas PapadakisPublished in: CoRR (2023)
Keyphrases
- cost function
- improved algorithm
- objective function
- detection algorithm
- experimental evaluation
- times faster
- segmentation algorithm
- theoretical analysis
- particle swarm optimization
- dynamic programming
- preprocessing
- optimal solution
- np hard
- computational complexity
- worst case
- high accuracy
- k means
- neural network
- learning rate
- selection algorithm
- convergence rate
- convex hull
- error function
- optimization algorithm
- computationally efficient
- expectation maximization
- linear programming
- simulated annealing
- image registration