基于感知小波的图像水印新技术

S. El-Khamy, M. Lotfy, R. Sadek
{"title":"基于感知小波的图像水印新技术","authors":"S. El-Khamy, M. Lotfy, R. Sadek","doi":"10.1109/NRSC.2002.1022877","DOIUrl":null,"url":null,"abstract":"A new technique for the adaptive digital watermarking of still images is presented. The technique is based on the concepts of multiresolution wavelet fusion and the human vision system (HVS). We propose the use of a wavelet transform to embed signature information in different frequency bands of an image. This is done in a way that exploits the characteristics of HVS. The signature data in our case is another small image. The algorithm is robust to a variety of image processing operations. Simulation results show the superior performance of the technique.","PeriodicalId":231600,"journal":{"name":"Proceedings of the Nineteenth National Radio Science Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"New technique for perceptual wavelet based image watermarking\",\"authors\":\"S. El-Khamy, M. Lotfy, R. Sadek\",\"doi\":\"10.1109/NRSC.2002.1022877\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new technique for the adaptive digital watermarking of still images is presented. The technique is based on the concepts of multiresolution wavelet fusion and the human vision system (HVS). We propose the use of a wavelet transform to embed signature information in different frequency bands of an image. This is done in a way that exploits the characteristics of HVS. The signature data in our case is another small image. The algorithm is robust to a variety of image processing operations. Simulation results show the superior performance of the technique.\",\"PeriodicalId\":231600,\"journal\":{\"name\":\"Proceedings of the Nineteenth National Radio Science Conference\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Nineteenth National Radio Science Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NRSC.2002.1022877\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Nineteenth National Radio Science Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NRSC.2002.1022877","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

提出了一种新的静态图像自适应数字水印技术。该技术基于多分辨率小波融合和人类视觉系统(HVS)的概念。我们提出使用小波变换在图像的不同频带中嵌入签名信息。这是通过一种利用HVS特性的方式完成的。本例中的签名数据是另一个小图像。该算法对各种图像处理操作具有较强的鲁棒性。仿真结果表明了该技术的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New technique for perceptual wavelet based image watermarking
A new technique for the adaptive digital watermarking of still images is presented. The technique is based on the concepts of multiresolution wavelet fusion and the human vision system (HVS). We propose the use of a wavelet transform to embed signature information in different frequency bands of an image. This is done in a way that exploits the characteristics of HVS. The signature data in our case is another small image. The algorithm is robust to a variety of image processing operations. Simulation results show the superior performance of the technique.
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