A Preconditioned Version of a Nested Primal-Dual Algorithm for Image
Deblurring
A Preconditioned Version of a Nested Primal-Dual Algorithm for Image
Deblurring
Variational models for image deblurring problems typically consist of a smooth term and a potentially non-smooth convex term. A common approach to solving these problems is using proximal gradient methods. To accelerate the convergence of these first-order iterative algorithms, strategies such as variable metric methods have been introduced in the …