基于奇异值分解的媒体处理和改进的水印方案

Jennifer Zheng
{"title":"基于奇异值分解的媒体处理和改进的水印方案","authors":"Jennifer Zheng","doi":"10.1137/21s1411664","DOIUrl":null,"url":null,"abstract":"We introduce the singular value decomposition (SVD) along with some of its key properties, illustrate its utility in image processing and audio processing, and show how this relates to watermarking and digital ownership protection. After establishing experimental results regarding image processing, we propose a modified version of a watermarking scheme introduced in Jain, Arora, and Panigrahi, A reliable SVD based watermarking scheme, CoRR abs/0808.0309 (2008) which offers improved robustness and imperceptibility properties.","PeriodicalId":93373,"journal":{"name":"SIAM undergraduate research online","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Media Processing and A Modified Watermarking Scheme Based on the Singular Value Decomposition\",\"authors\":\"Jennifer Zheng\",\"doi\":\"10.1137/21s1411664\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We introduce the singular value decomposition (SVD) along with some of its key properties, illustrate its utility in image processing and audio processing, and show how this relates to watermarking and digital ownership protection. After establishing experimental results regarding image processing, we propose a modified version of a watermarking scheme introduced in Jain, Arora, and Panigrahi, A reliable SVD based watermarking scheme, CoRR abs/0808.0309 (2008) which offers improved robustness and imperceptibility properties.\",\"PeriodicalId\":93373,\"journal\":{\"name\":\"SIAM undergraduate research online\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SIAM undergraduate research online\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1137/21s1411664\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIAM undergraduate research online","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1137/21s1411664","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

我们介绍了奇异值分解(SVD)及其一些关键属性,说明了它在图像处理和音频处理中的应用,并展示了它与水印和数字所有权保护的关系。在建立了关于图像处理的实验结果之后,我们提出了Jain, Arora和Panigrahi引入的水印方案的改进版本,这是一种可靠的基于SVD的水印方案,CoRR abs/0808.0309(2008)提供了更好的鲁棒性和不可感知性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Media Processing and A Modified Watermarking Scheme Based on the Singular Value Decomposition
We introduce the singular value decomposition (SVD) along with some of its key properties, illustrate its utility in image processing and audio processing, and show how this relates to watermarking and digital ownership protection. After establishing experimental results regarding image processing, we propose a modified version of a watermarking scheme introduced in Jain, Arora, and Panigrahi, A reliable SVD based watermarking scheme, CoRR abs/0808.0309 (2008) which offers improved robustness and imperceptibility properties.
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:604180095
Book学术官方微信