基于小波分解的条纹噪声快速去除

Jingwei Yang, Sile Wang, Wenzhu Yang
{"title":"基于小波分解的条纹噪声快速去除","authors":"Jingwei Yang, Sile Wang, Wenzhu Yang","doi":"10.1109/GCIS.2013.37","DOIUrl":null,"url":null,"abstract":"Vertical stripe noise, also called waterfall artifact, is generally occurred in the line scan images. It degrades the image quality and leads to object misrecognition. This paper presents a new approach for removal of vertical stripe noise using multi-resolution wavelet decomposition. The line scan image was firstly decomposed in highest L levels using wavelet decomposition. Then the vertical component in each decomposition level was discarded to remove the stripe noise. Finally, the destriped image was reconstructed from the L level processed components. The results indicate that the proposed approach can eliminate the stripe noise effectively from the polluted image.","PeriodicalId":366262,"journal":{"name":"2013 Fourth Global Congress on Intelligent Systems","volume":"130 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Fast Removal of Stripe Noise Based on Wavelet Decomposition\",\"authors\":\"Jingwei Yang, Sile Wang, Wenzhu Yang\",\"doi\":\"10.1109/GCIS.2013.37\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Vertical stripe noise, also called waterfall artifact, is generally occurred in the line scan images. It degrades the image quality and leads to object misrecognition. This paper presents a new approach for removal of vertical stripe noise using multi-resolution wavelet decomposition. The line scan image was firstly decomposed in highest L levels using wavelet decomposition. Then the vertical component in each decomposition level was discarded to remove the stripe noise. Finally, the destriped image was reconstructed from the L level processed components. The results indicate that the proposed approach can eliminate the stripe noise effectively from the polluted image.\",\"PeriodicalId\":366262,\"journal\":{\"name\":\"2013 Fourth Global Congress on Intelligent Systems\",\"volume\":\"130 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Fourth Global Congress on Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GCIS.2013.37\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fourth Global Congress on Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCIS.2013.37","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

垂直条纹噪声又称瀑布伪影,一般发生在行扫描图像中。它会降低图像质量并导致物体的错误识别。提出了一种利用多分辨率小波分解去除垂直条纹噪声的新方法。首先利用小波分解对行扫描图像进行最高L级的分解。然后丢弃每个分解层中的垂直分量,去除条纹噪声。最后,利用L级处理分量重构去条纹图像。结果表明,该方法能有效地消除被污染图像中的条纹噪声。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast Removal of Stripe Noise Based on Wavelet Decomposition
Vertical stripe noise, also called waterfall artifact, is generally occurred in the line scan images. It degrades the image quality and leads to object misrecognition. This paper presents a new approach for removal of vertical stripe noise using multi-resolution wavelet decomposition. The line scan image was firstly decomposed in highest L levels using wavelet decomposition. Then the vertical component in each decomposition level was discarded to remove the stripe noise. Finally, the destriped image was reconstructed from the L level processed components. The results indicate that the proposed approach can eliminate the stripe noise effectively from the polluted image.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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