Cyclic Weighted Median Method for L1 Low-Rank with Nonlocal for Single color image denoising
文献类型：会议论文
| 作者 | Luo Q(罗琼)1,4,5 ; Liu JX(刘佳鑫)3; Han Z(韩志)1,5; Li, Yong2; Tang YD(唐延东)1,5; Li, Shengchuan3
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| 出版日期 | 2020 |
| 会议日期 | October 10-13, 2020 |
| 会议地点 | Xi'an, China |
| 页码 | 370-374 |
| 英文摘要 | A challenging problem in computer vision is how to restore clean image from the noisy one. Low rank decomposition based on Li norm has become a popular solution. However, Since the matrix factorization is nonconvex and Li norm is non-smooth, most methods cannot be truly realized and only suboptimal results can be obtained. The cyclic weighted median method alleviates this problem to a certain extent by solving a series of scalars minimization convex sub-problems. However, this method currently can only rely on similar image sequences to find low-rank subspaces, which is seriously degraded in single image denoising. In this paper, we introduce non-local self-similar priors, and apply the cyclic weighted median method for single image denoising for the first time. Experiments prove that our method is better than all competition methods. |
| 产权排序 | 1 |
| 会议录 | Proceedings of 10th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2020
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-7281-9009-9 |
| WOS记录号 | WOS:000646188000067 |
| 源URL | [http://ir.sia.cn/handle/173321/28165]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 通讯作者 | Han Z(韩志) |
| 作者单位 | 1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110006, China 2.State Grid Shandong Electric Power Company, Shandong 250001, China 3.State Grid Liaoning Electric Power Research Institute, Shenyang 110006, China 4.University of Chinese Academy of Sciences, Beijing 100049, China 5.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110006, China |
| 推荐引用方式 GB/T 7714 | Luo Q,Liu JX,Han Z,et al. Cyclic Weighted Median Method for L1 Low-Rank with Nonlocal for Single color image denoising[C]. 见:. Xi'an, China. October 10-13, 2020. |
入库方式： OAI收割
来源：沈阳自动化研究所
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