An Adaptive Primal-Dual Image Denoising Algorithm

被引：0
|
作者：
Tian, Dan [1 ]
Zhang, Xiaodan [2 ]
Ding, Yu [1 ]
机构：
[1] Shenyang Univ, Sch Informat Engn, Shenyang 110044, Peoples R China
[2] Shenyang Univ Chem Technol, Shenyang 110142, Peoples R China
来源：
PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC) | 2018年
关键词：
Image Denoising; Discrepancy Principle; Duality Principle; Variational Method;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A primal-dual model for image denoising is proposed based on duality principle. We theoretically analyze its equivalency with the ROE variation model, and its structural similarity with the saddle-point optimization model. The primal-dual algorithm based on resolvent is used for solving the model. In terms of parameter selection, the regularization parameter is updated adaptively based on the discrepancy principle. The experiment results show that the proposed primal-dual denoising algorithm is effective in improving the visual effect.
引用
收藏
页码：3307 / 3310
页数：4
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