A fixed-point augmented Lagrangian method for total variation minimization problems.

Highlights: [•] We presented an efficient fixed-point augmented Lagrangian method (FPALM) for total variation minimization problems. [•] We proposed fast alternative algorithms to solve the minimization problems. [•] The proof for the convergence of the FPALM was provided under some mild assumptions. [•] The wide applicability of the proposed algorithms were demonstrated on several well-known image denoing models. [ABSTRACT FROM AUTHOR]