Convergence of a Central Difference Discretization of ROF Model for Image Denoising
نویسندگان
چکیده
We study a central difference discretization of Rudin-Osher-Fetami model for image de-noising. We show that the discrete solution uk converges to the continuous solution u in L2 norm and a rate of convergence is given.
منابع مشابه
The Convergence of a Central-Difference Discretization of Rudin-Osher-Fatemi Model for Image Denoising
We study the connection between minimizers of the discrete and the continuous Rudin-Osher-Fatemi models. We use a centraldifference total variation term in the discrete ROF model and treat the discrete input data as a projection of the continuous input data into the discrete space. We employ a method developed in [13] with slight adaption to the setting of the central-difference total variation...
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