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In this paper, we propose an improved model for image denoising, which combines the second-order ROF model and the fourth-order partial differential equations (PDE), and it is solved by the combination algorithm of the split Bregman method, an algebraic multigrid method and Krylov subspace acceleration. At the same time, we prove that the model is strictly convex and exists a unique global minimizer...
In this paper, we propose an efficient combination model of the second-order ROF model and a simple fourth-order partial differential equations (PDE) for image denoising. The split Bregman method is used to convert the nonlinear combination model into linear systems in the outer iteration, and the relaxation iterative method is applied to solve the linear systems in the inner iteration. Furthermore,...
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