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• W4383619553 abstract "<abstract><p>Total variation (TV) regularizer has diffusely emerged in image processing. In this paper, we propose a new nonconvex total variation regularization method based on the generalized Fischer-Burmeister function for image restoration. Since our model is nonconvex and nonsmooth, the specific difference of convex algorithms (DCA) are presented, in which the subproblem can be minimized by the alternating direction method of multipliers (ADMM). The algorithms have a low computational complexity in each iteration. Experiment results including image denoising and magnetic resonance imaging demonstrate that the proposed models produce more preferable results compared with state-of-the-art methods.</p></abstract>" @default.
• W4383619553 created "2023-07-09" @default.
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• W4383619553 date "2023-01-01" @default.
• W4383619553 modified "2023-09-25" @default.
• W4383619553 title "A new difference of anisotropic and isotropic total variation regularization method for image restoration" @default.
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• W4383619553 doi "https://doi.org/10.3934/mbe.2023661" @default.
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• W4383619553 hasPublicationYear "2023" @default.
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