New total variation regularized L1 L 1 model for image restoration
In this paper, we propose three new time dependent models based on total variation regularized L1 L 1 model for solving total variation minimization problems in image restoration. The main idea is to apply a priori smoothness on the solution image and to regularize the parabolic term. We propose a kind of continuous boundary conditions, i.e. mean boundary conditions. Numerical experimental results demonstrate that the three new models need far less iterations than the original total variation L1 L 1 model and mean boundary conditions are efficient for image restoration.
total variation image restoration mean bcs tvl1 model