一种新的Contourlet域盲水印算法

Haifeng Li, Jianting Wen, Haifeng Gong
{"title":"一种新的Contourlet域盲水印算法","authors":"Haifeng Li, Jianting Wen, Haifeng Gong","doi":"10.1109/ICPR.2006.134","DOIUrl":null,"url":null,"abstract":"A novel watermarking algorithm based on contourlet transform is proposed in this paper. The watermark composed of pseudo-random sequence is embedded in the selected contourlet transform coefficients by means of multiplicative method. The contourlet coefficients are modeled with generalized Gaussian distribution with zero mean, and then watermark detection method is proposed based on maximum likelihood detection. Furthermore the decision rule is optimized via Neyman-Pearson criterion. Experimental results show that the fidelity of the watermarked image is good and robust to signal processing and small geometrical attacks","PeriodicalId":236033,"journal":{"name":"18th International Conference on Pattern Recognition (ICPR'06)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"A Novel Blind Watermarking Algorithm in Contourlet Domain\",\"authors\":\"Haifeng Li, Jianting Wen, Haifeng Gong\",\"doi\":\"10.1109/ICPR.2006.134\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel watermarking algorithm based on contourlet transform is proposed in this paper. The watermark composed of pseudo-random sequence is embedded in the selected contourlet transform coefficients by means of multiplicative method. The contourlet coefficients are modeled with generalized Gaussian distribution with zero mean, and then watermark detection method is proposed based on maximum likelihood detection. Furthermore the decision rule is optimized via Neyman-Pearson criterion. Experimental results show that the fidelity of the watermarked image is good and robust to signal processing and small geometrical attacks\",\"PeriodicalId\":236033,\"journal\":{\"name\":\"18th International Conference on Pattern Recognition (ICPR'06)\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"18th International Conference on Pattern Recognition (ICPR'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.2006.134\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"18th International Conference on Pattern Recognition (ICPR'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.2006.134","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17

摘要

提出了一种新的基于contourlet变换的水印算法。采用乘法法将伪随机序列组成的水印嵌入到选定的轮廓波变换系数中。采用均值为零的广义高斯分布对轮廓波系数进行建模,提出了基于极大似然检测的水印检测方法。并利用Neyman-Pearson准则对决策规则进行了优化。实验结果表明,水印图像具有良好的保真度,对信号处理和小几何攻击具有较强的鲁棒性
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
A Novel Blind Watermarking Algorithm in Contourlet Domain
A novel watermarking algorithm based on contourlet transform is proposed in this paper. The watermark composed of pseudo-random sequence is embedded in the selected contourlet transform coefficients by means of multiplicative method. The contourlet coefficients are modeled with generalized Gaussian distribution with zero mean, and then watermark detection method is proposed based on maximum likelihood detection. Furthermore the decision rule is optimized via Neyman-Pearson criterion. Experimental results show that the fidelity of the watermarked image is good and robust to signal processing and small geometrical attacks
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
Segmentation of Human Body Parts Using Deformable Triangulation Noise Variance Adaptive SEA for Motion Estimation: A Two-Stage Schema A Hybrid Recognition Scheme Based on Partially Labeled SOM and MLP A Captcha Mechanism By Exchange Image Blocks Rectification with Intersecting Optical Axes for Stereoscopic Visualization
×
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