[1]杨金钊,何清波.非平稳强噪条件下的视频相位放大技术研究[J].机械与电子,2018,(06):17-20.
　YANG Jinxi,HE Qingbo.Research on Phase-Based Video Motion Processing under Non-stationary and Strong Noise Conditions[J].Machinery & Electronics,2018,(06):17-20.
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非平稳强噪条件下的视频相位放大技术研究()
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机械与电子[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2018年06期
页码:
17-20
栏目:
设计与研究
出版日期:
2018-06-24

文章信息/Info

Title:
Research on Phase-Based Video Motion Processing under Non-stationary and Strong Noise Conditions
文章编号:
1001-2257（2018）06-0017-04
作者:
杨金钊; 何清波
(中国科学技术大学精密机械与精密仪器系,安徽 合肥 230026)
Author(s):
YANG Jinxi;  HE Qingbo
(Department of Precision Machinery & Precision Instrumentation, University of Science and Technology of China, Hefei 230026, China)
关键词:
视频相位放大; 复数金字塔; 参数化时频分析; 主成分分析; 非平稳信号处理
Keywords:
phase-based?video motion processing;  complex steerable pyramids;  parameterized time-frequency analysis;  principal component analysis;  non-stationary signal processing
分类号:
TP391.41
文献标志码:
A
摘要:
针对视频信号在非平稳和强噪声情况下，视频放大技术难以提取目标信号且会将频带内噪声同时放大的缺点，提出了一种基于参数化时频分析及主成分分析的滤波方法。将相变信号降维后，对降维信号做时频分析，提取其中的非平稳信号。不仅重构的信号具有良好的时频特性，且算法运算量也大大降低。实验结果表明，此方法在非平稳强噪信号提取方面具有明显优势。
Abstract:
If signals are in nonstationary and strong noise conditions, it will be difficult to use the phase-based video motion processing method to extract target signals. In addition, this method may also magnify noise in the frequency range. To solve these problems, this paper proposes a video motion processing method based on parameterized time-frequency analysis and principal component analysis.?Phase variation signals are projected onto a small number of principal components and filtered on time-frequency domain.?By using this method, reconstructed signals have good time-frequency characteristics, and the computational complexity of the algorithm could be greatly reduced.?The experimental results show that the proposed method has significant advantages in processing nonstationary strong noise signals.

参考文献/References:

[1]Fuchs M, Chen T, Wang O, et al. Real-time temporal shaping of high-speed video streams[J]. Computers and Graphics, 2010, 34(5): 575-584.

[2]Simoncelli E P, Freeman W T.The steerable pyramid: a flexible architecture for multi-scale derivative computation[C]// Proceedings of the IEEE International Conference on image Processing，1995, 3: 444-447.

[3]Wadhwa N,Rubinstein M,Durand F,et al.Phase-based video motion processing[J]. ACM Transactions on Graphics (TOG), 2013, 32(4): 80.

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[6]杨扬.参数化时频分析理论、方法及其在工程信号分析中的应用[D].上海：上海交通大学,2013.

[7]Yang Y, Dorn C, Mancini T, et al. Blind identification of full-field vibration modes from video measurements with phase-based video motion magnification[J]. Mechanical Systems and Signal Processing, 2017, 85: 567-590.

备注/Memo

备注/Memo:

收稿日期：2018-03-15
基金项目：国家自然科学基金资助项目(51475441)

作者简介：杨金钊（1994-），男，安徽滁州人，硕士研究生，研究方向为设备状态监测与故障诊断；何清波（1980-），男，河南濮阳人，副教授，研究方向为机械系统动态监控、诊断与预知性维护等。

更新日期/Last Update: 2019-10-30