Image restoration based on the minimax-concave and the overlapping group sparsity
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-022-02384-z.pdf
Reference32 articles.
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3. Rudin, L.I., Osher, S., Fatemi, E.: Nonlinear total variation based noise removal algorithms. Phys. D: Nonlinear Phenomena 60(1–4), 259–268 (1992)
4. Guo, J., Chen, Q.: Image denoising based on nonconvex anisotropic total-variation regularization. Signal Process 186, 108124 (2021). https://doi.org/10.1016/j.sigpro.2021.108124
5. Xu, J., Feng, X., Hao, Y.: A coupled variational model for image denoising using a duality strategy and split Bregman. Multidim Syst Sign Process 25(1), 83–94 (2014)
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