ADMM algorithm for some regularized Perona-Malik equation and applications to image denoising

被引:2
|
作者
Sniba, Farah [1 ]
Karami, Fahd [1 ]
Meskine, Driss [1 ]
机构
[1] Ecole Super Technol Essaouira, BP 383, Essaouira El Jadida, Essaouira, Morocco
关键词
Perona-Malik model; p-Laplacian operator; ADMM algorithm; Denoising image; Staircase effect; EDGE-DETECTION;
D O I
10.1007/s11760-022-02267-3
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we propose a new approach for solving the proposed variational model derived from Perona-Malik (PM) equation. This problem is the combination of P-M model and p-Laplacian operator. Our approach exploiting the different values of p (p near 1 or infinity) and using a variable contrast parameter. to adaptively control the scattering pattern in the restored image. Firstly, we present the variational model, and we prove the existence and uniqueness of the minimizer. To solve numerically our problem, we apply theADMMmethod to derive a robust scheme. Finally, we illustrate the effectiveness of our algorithm with various numerical tests which can compare favorably with some existing methods in the literature.
引用
收藏
页码:609 / 617
页数:9
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