Visual Cryptography based Grayscale Image Watermarking in DWT domain

P. Kulkarni, Girish Kulkarni
{"title":"Visual Cryptography based Grayscale Image Watermarking in DWT domain","authors":"P. Kulkarni, Girish Kulkarni","doi":"10.1109/ICECA.2018.8474621","DOIUrl":null,"url":null,"abstract":"Watermarking is a technique to protect the copyrights of digital media like image, audio, video, etc. Visual Cryptography (VC) is a scheme for hiding information in still images. The Visual Cryptography Scheme splits the secret image into unintelligible images, these images are called shares. The shares are distributed to ‘n’ participants. Any ‘k’ shares out of ‘n’ reveal the secret image and less than ‘k’ shares recover no information about secret. Amalgamating Visual cryptography with watermarking yields the best solution for resolving image ownership disputes and detection of infringements of copyrights. In this paper, (2,2) VC scheme is employed, one of the shares is embedded in the low frequency domain of DWT and the other share is registered with the Trusted Authority(TA). The secret image is obtained by performing XOR operation on the two shares. The experimental results revealed that the proposed scheme can not only prove the ownership of image but also withstand various image processing attacks.","PeriodicalId":272623,"journal":{"name":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECA.2018.8474621","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Watermarking is a technique to protect the copyrights of digital media like image, audio, video, etc. Visual Cryptography (VC) is a scheme for hiding information in still images. The Visual Cryptography Scheme splits the secret image into unintelligible images, these images are called shares. The shares are distributed to ‘n’ participants. Any ‘k’ shares out of ‘n’ reveal the secret image and less than ‘k’ shares recover no information about secret. Amalgamating Visual cryptography with watermarking yields the best solution for resolving image ownership disputes and detection of infringements of copyrights. In this paper, (2,2) VC scheme is employed, one of the shares is embedded in the low frequency domain of DWT and the other share is registered with the Trusted Authority(TA). The secret image is obtained by performing XOR operation on the two shares. The experimental results revealed that the proposed scheme can not only prove the ownership of image but also withstand various image processing 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
基于视觉密码的DWT域灰度图像水印
水印是一种保护图像、音频、视频等数字媒体版权的技术。视觉加密(VC)是一种在静态图像中隐藏信息的方案。视觉密码方案将秘密图像分割成不可理解的图像,这些图像被称为共享。股票分配给“n”名参与者。在“n”中的任何“k”个共享都会显示秘密图像,少于“k”个共享无法恢复关于秘密的信息。将视觉加密技术与水印技术相结合是解决图像所有权纠纷和检测版权侵权的最佳解决方案。本文采用(2,2)VC方案,其中一份嵌入到DWT的低频域中,另一份注册到可信机构(TA)。秘密图像通过对两个共享进行异或操作获得。实验结果表明,该方案既能证明图像的所有权,又能抵御各种图像处理攻击。
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
A Proposed Machine Learning based Scheme for Intrusion Detection FSO Link Performance Analysis with Different Modulation Techniques under Atmospheric Turbulence ROI Segmentation for Feature Extraction from Human Fingernail Evaluation of Image Processing Techniques on a Single Chip Digital Signal Processor LoRa Technology - An Overview
×
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