NDLI: Online burr video denoising by learning sparsifying transform

Content Provider	IET Digital Library
Author	Han, Lili Li, Shujuan Liu, Xiuping Guo, Jiaan
Abstract	The burrs on high-voltage copper contact leads to point discharge and device damage. Since the high-voltage copper contact has different machining batch and the contour various which the machine tool remove is not economic and robot usually is used to remove the burrs of high-voltage copper contact. The first step for robot deburring is to identify burrs. In order to improve the performance of copper contact burr video denoising, this article presents online burr video denoising sparsifying transforms algorithm, which defined two alternative values between the optimal sparse signal and transform learning dictionary, simultaneously, calculated the mean of peak signal-to-noise ratio, the mean of execution time, the STD (STandard Deviation), and the VAR (VARiance), accordingly presented an burr video denoising algorithm and compared with state-of-the-art video denoising algorithms. The experiment results show that compared with traditional methods, the burr video denoising algorithm has higher denoising precision, faster denoising speed, and stronger high-noise-level processing capacity, and so on. The numeric experiments show that the proposed approach has higher peak signal-to-noise ratio and less computation complexity than the existing video denoising methods.
Starting Page	1138
Ending Page	1145
Page Count	8
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 7, May (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.6243
Journal	IET Image Processing
Publisher Date	2019-03-22
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Burr Video Denoising Algorithm Burrs Computer Vision And Image Processing Technique Copper Contact Burr Video Denoising Deburring Existing Video Denoising Method Filtering Method in Signal Processing Filtering Theory High-voltage Copper Contact Higher Denoising Precision Image Denoising Integral Transforms Knowledge Engineering Technique Learning in AI Machine Tool Online Burr Video Optical, Image And Video Signal Processing Production Equipment Signal Denoising Sparsifying Transforms Algorithm State-of-the-art Video Statistics Stronger High-noise-level Processing Capacity Video Signal Processing Wavelet Transform
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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