A joint spatial texture analysis/watermarking system for digital image authentication

Musab Ghadi, L. Laouamer, Laurent Nana, A. Pascu
{"title":"A joint spatial texture analysis/watermarking system for digital image authentication","authors":"Musab Ghadi, L. Laouamer, Laurent Nana, A. Pascu","doi":"10.1109/SiPS.2017.8109968","DOIUrl":null,"url":null,"abstract":"A watermarking system ensures the reliability of images transmitted over public networks by asserting their authenticity. The texture property of host image is one of the most interesting characteristics that can be exploited to design image authentication systems. The importance of texture property emerged from the principles of Human Visual System (HVS), where modifying the spatial pixels of highly textured regions within host image increases the imperceptibility and the robustness against different image processing attacks. Many efficient features known in the literature are used to define the texture property of host image, but all of them are intangible. The model proposed in this paper suggests to solve this intangibility by applying one of Multi-Criteria Decision Making (MCDM) methods, in order to define highly textured blocks within host image to hold the secret data. The proposed model has been tested on grayscale image and the experiments result shows high level of imperceptibility and robustness against different singular and hybrid attacks.","PeriodicalId":251688,"journal":{"name":"2017 IEEE International Workshop on Signal Processing Systems (SiPS)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Workshop on Signal Processing Systems (SiPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SiPS.2017.8109968","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

A watermarking system ensures the reliability of images transmitted over public networks by asserting their authenticity. The texture property of host image is one of the most interesting characteristics that can be exploited to design image authentication systems. The importance of texture property emerged from the principles of Human Visual System (HVS), where modifying the spatial pixels of highly textured regions within host image increases the imperceptibility and the robustness against different image processing attacks. Many efficient features known in the literature are used to define the texture property of host image, but all of them are intangible. The model proposed in this paper suggests to solve this intangibility by applying one of Multi-Criteria Decision Making (MCDM) methods, in order to define highly textured blocks within host image to hold the secret data. The proposed model has been tested on grayscale image and the experiments result shows high level of imperceptibility and robustness against different singular and hybrid attacks.
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
用于数字图像认证的空间纹理分析/水印联合系统
水印系统通过确认图像的真实性来确保在公共网络上传输的图像的可靠性。主机图像的纹理特性是可以用来设计图像认证系统的最有趣的特性之一。纹理属性的重要性来自于人类视觉系统(HVS)的原理,其中修改宿主图像中高度纹理区域的空间像素增加了对不同图像处理攻击的不可感知性和鲁棒性。文献中已知的许多有效特征被用来定义主图像的纹理属性,但它们都是无形的。本文提出的模型通过多准则决策(Multi-Criteria Decision Making, MCDM)方法中的一种来解决这种无形性,在主图像中定义高度纹理化的块来保存秘密数据。该模型在灰度图像上进行了测试,实验结果表明,该模型对不同的奇异攻击和混合攻击具有较高的不可感知性和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Analysing the performance of divide-and-conquer sequential matrix diagonalisation for large broadband sensor arrays Design space exploration of dataflow-based Smith-Waterman FPGA implementations Hardware error correction using local syndromes A stochastic number representation for fully homomorphic cryptography Statistical analysis of Post-HEVC encoded videos
×
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