基于小波变换的数字水印算法设计

Hua Lian, Bo-Ning Hu, Rui-Mei Zhao, Yanli Hou
{"title":"基于小波变换的数字水印算法设计","authors":"Hua Lian, Bo-Ning Hu, Rui-Mei Zhao, Yanli Hou","doi":"10.1109/ICMLC.2010.5580639","DOIUrl":null,"url":null,"abstract":"A blind watermarking algorithm based on wavelet transform domain is proposed. This algorithm use two-level wavelet transform on the original image. Reference the coefficients of level detail sub-band in one-level wavelet transform and adjust the two-level wavelet coefficients in the same direction adaptive to achieve embedded watermark information. The result shows that the embedded watermark has good transparency and robustness, and the watermark can be extracted from the watermarked image without the original image.","PeriodicalId":126080,"journal":{"name":"2010 International Conference on Machine Learning and Cybernetics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Design of digital watermarking algorithm based on wavelet transform\",\"authors\":\"Hua Lian, Bo-Ning Hu, Rui-Mei Zhao, Yanli Hou\",\"doi\":\"10.1109/ICMLC.2010.5580639\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A blind watermarking algorithm based on wavelet transform domain is proposed. This algorithm use two-level wavelet transform on the original image. Reference the coefficients of level detail sub-band in one-level wavelet transform and adjust the two-level wavelet coefficients in the same direction adaptive to achieve embedded watermark information. The result shows that the embedded watermark has good transparency and robustness, and the watermark can be extracted from the watermarked image without the original image.\",\"PeriodicalId\":126080,\"journal\":{\"name\":\"2010 International Conference on Machine Learning and Cybernetics\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Machine Learning and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC.2010.5580639\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2010.5580639","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

提出了一种基于小波变换域的盲水印算法。该算法对原始图像进行二级小波变换。参考一级小波变换中的水平细节子带系数,自适应调整两级小波系数,实现水印信息的嵌入。结果表明,所嵌入的水印具有良好的透明性和鲁棒性,可以在没有原始图像的情况下从水印图像中提取水印。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Design of digital watermarking algorithm based on wavelet transform
A blind watermarking algorithm based on wavelet transform domain is proposed. This algorithm use two-level wavelet transform on the original image. Reference the coefficients of level detail sub-band in one-level wavelet transform and adjust the two-level wavelet coefficients in the same direction adaptive to achieve embedded watermark information. The result shows that the embedded watermark has good transparency and robustness, and the watermark can be extracted from the watermarked image without the original 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
期刊最新文献
Does joint decoding really outperform cascade processing in English-to-Chinese transliteration generation? The role of syllabification The design of energy-saving filtering mechanism for sensor networks Feature-based approach combined with hierarchical classifying strategy to relation extraction The comparative study of different Bayesian classifier models New inverse halftoning using texture-and lookup table-based learning approach
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1