Frequency domain filtering for phase fringe patterns of digital speckle pattern interferometry

王永红 Wang Yong-hong, 李骏睿 Li Jun-rui, 孙剑飞 Sun Jian-fei, 刘佩 Liu Pei, 杨连祥 Yang Lian-xiang
{"title":"Frequency domain filtering for phase fringe patterns of digital speckle pattern interferometry","authors":"王永红 Wang Yong-hong, 李骏睿 Li Jun-rui, 孙剑飞 Sun Jian-fei, 刘佩 Liu Pei, 杨连祥 Yang Lian-xiang","doi":"10.3788/CO.20140703.0389","DOIUrl":null,"url":null,"abstract":"In order to solve the problem of serious influence of much noise in the phase fringe patterns of digital speckle pattern interferometry on the result and accuracy of phase unwrapping,an effective method of stripe sine / cosine decomposition combined with frequency domain low-pass filtering is introduced in this paper,and the high precision filter of phase fringe patterns of digital speckle pattern interferometry is realized. Basic idea of this method is that phase fringe patterns is mapped into two patterns by the sine / cosine function before the phase image filter processing,and then is synthesized into phase fringe patterns through frequency domain filter. This decomposition frequency domain filtering method can retention phase jump information effectively when filtering. Experimental results show that compared with the traditional image noise reduction method,this method can filter out the speckle noise in images better on the basis of reserving \"rush\"image information,and it is simple and effective,which solves the problem of loss from 10% to 40% for phase fringe patterns gray level information when traditional filtering methods are used in stripe phase fringe patterns.","PeriodicalId":10133,"journal":{"name":"Chinese Journal of Optics and Applied Optics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Journal of Optics and Applied Optics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3788/CO.20140703.0389","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

In order to solve the problem of serious influence of much noise in the phase fringe patterns of digital speckle pattern interferometry on the result and accuracy of phase unwrapping,an effective method of stripe sine / cosine decomposition combined with frequency domain low-pass filtering is introduced in this paper,and the high precision filter of phase fringe patterns of digital speckle pattern interferometry is realized. Basic idea of this method is that phase fringe patterns is mapped into two patterns by the sine / cosine function before the phase image filter processing,and then is synthesized into phase fringe patterns through frequency domain filter. This decomposition frequency domain filtering method can retention phase jump information effectively when filtering. Experimental results show that compared with the traditional image noise reduction method,this method can filter out the speckle noise in images better on the basis of reserving "rush"image information,and it is simple and effective,which solves the problem of loss from 10% to 40% for phase fringe patterns gray level information when traditional filtering methods are used in stripe phase fringe patterns.
数字散斑干涉中相位条纹的频域滤波
为了解决数字散斑干涉相位条纹图中噪声较大严重影响相位展开结果和精度的问题,提出了一种有效的条纹正弦余弦分解与频域低通滤波相结合的方法,实现了数字散斑干涉相位条纹图的高精度滤波。该方法的基本思想是在相位图像滤波处理前,先通过正弦/余弦函数将相位条纹图映射成两幅图,再通过频域滤波合成为相位条纹图。这种分解频域滤波方法在滤波时能有效地保留相跳信息。实验结果表明,与传统的图像降噪方法相比,该方法在保留“匆忙”图像信息的基础上能更好地滤除图像中的斑点噪声,且简单有效,解决了传统滤波方法对条纹相位条纹图像灰度信息损失10% ~ 40%的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信