Rudin-Osher-Fatemi model , higher order regularization , convex optimization , dual optimization methods , G-norm , support vector regression
Abstract:
In this paper, we apply the dual approach developed by A. Chambolle for the Rudin-Osher-Fatemi model to regularization functionals with higher order derivatives. We emphasize the linear algebra point of view by consequently using matrix-vector notation. Numerical examples demonstrate the differences between various second order regularization approaches.
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