| Online burr video denoising by learning sparsifying transform |
| Han, Lili; Li, Shujuan; Liu, Xiuping; Guo, Jiaan
|
| 2019
|
| 卷号 | 13页码:1138-1145 |
| 关键词 | video signal processing
learning (artificial intelligence)
signal denoising
wavelet transforms
deburring
machine tools
image denoising
filtering theory
online burr video
burrs
high-voltage copper contact
copper contact burr video denoising
sparsifying transforms algorithm
burr video denoising algorithm
state-of-the-art video
higher denoising precision
stronger high-noise-level processing capacity
existing video denoising methods
|
| ISSN号 | 1751-9659
|
| DOI | 10.1049/iet-ipr.2018.6243
|
| URL标识 | 查看原文
|
| WOS记录号 | WOS:000470745200014
|
| 内容类型 | 期刊论文
|
| URI标识 | http://www.corc.org.cn/handle/1471x/4968667
|
| 专题 | 西安理工大学
|
推荐引用方式
GB/T 7714 |
Han, Lili,Li, Shujuan,Liu, Xiuping,et al. Online burr video denoising by learning sparsifying transform[J],2019,13:1138-1145.
|
| APA |
Han, Lili,Li, Shujuan,Liu, Xiuping,&Guo, Jiaan.(2019).Online burr video denoising by learning sparsifying transform.,13,1138-1145.
|
| MLA |
Han, Lili,et al."Online burr video denoising by learning sparsifying transform".13(2019):1138-1145.
|
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论