A new data hiding method using angle quantization index modulation in gradient domain

E. Nezhadarya, Z. J. Wang, R. Ward
{"title":"A new data hiding method using angle quantization index modulation in gradient domain","authors":"E. Nezhadarya, Z. J. Wang, R. Ward","doi":"10.1109/ICASSP.2011.5946977","DOIUrl":null,"url":null,"abstract":"A robust data hiding scheme that embeds the watermark bits by quantizing the gradient directions of an image is proposed. By embedding the watermark in the angle, the watermark becomes robust to amplitude scaling attacks. To keep the watermark imperceptible and enhance its robustness, it is embedded in the significant gradient vectors of the image. The significant gradient vectors are obtained using discrete wavelet transform (DWT). Thus, the gradient vector at a pixel is first obtained in terms of the DWT coefficients. Then the gradient direction is quantized by modifying the DWT coefficients corresponding to the gradient vectors. Experimental results confirm that the proposed gradient direction watermarking (GDWM) method is robust to various types of attacks, specially amplitude scaling attacks, and results in watermarked images of high fidelity.","PeriodicalId":254007,"journal":{"name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.2011.5946977","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

A robust data hiding scheme that embeds the watermark bits by quantizing the gradient directions of an image is proposed. By embedding the watermark in the angle, the watermark becomes robust to amplitude scaling attacks. To keep the watermark imperceptible and enhance its robustness, it is embedded in the significant gradient vectors of the image. The significant gradient vectors are obtained using discrete wavelet transform (DWT). Thus, the gradient vector at a pixel is first obtained in terms of the DWT coefficients. Then the gradient direction is quantized by modifying the DWT coefficients corresponding to the gradient vectors. Experimental results confirm that the proposed gradient direction watermarking (GDWM) method is robust to various types of attacks, specially amplitude scaling attacks, and results in watermarked images of high fidelity.
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
一种基于角度量化指数调制的梯度域数据隐藏新方法
提出了一种通过量化图像梯度方向嵌入水印位的鲁棒数据隐藏方案。通过在角度中嵌入水印,增强了水印对幅度缩放攻击的鲁棒性。为了保持水印的不可感知性和增强其鲁棒性,水印被嵌入到图像的显著梯度向量中。利用离散小波变换(DWT)得到显著梯度向量。因此,首先根据DWT系数获得像素处的梯度向量。然后通过修改梯度向量对应的DWT系数对梯度方向进行量化。实验结果表明,所提出的梯度方向水印(GDWM)方法对各种类型的攻击,特别是幅度缩放攻击具有较强的鲁棒性,可以得到高保真的水印图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The IBM 2009 GALE Arabic speech transcription system Perfect Root-Of-Unity Codes with prime-size alphabet When to add another dimension when communicating over MIMO channels Cooperative sensing in cognitive networks under malicious attack Iterative estimation of structures of multiple RNA homologs: Turbofold
×
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:604180095
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