Visual Secret Sharing Technique for Meaningful Shares using Boolean Operation

Vishakha J. Kapadiya, Laxmi S. Desai, Yogesh K. Meghrajani
{"title":"Visual Secret Sharing Technique for Meaningful Shares using Boolean Operation","authors":"Vishakha J. Kapadiya, Laxmi S. Desai, Yogesh K. Meghrajani","doi":"10.1109/ICACAT.2018.8933540","DOIUrl":null,"url":null,"abstract":"Visual secret sharing (VSS) scheme generates shares by encoding secret image into meaningless images. Human visual system is utilized to reveal secret image by share superimposition. XOR-based VSS scheme excels the visual performance of image and resolves the pixel alignment issue. Recently, the concept of meaningful shares is developed to share secret image to reduce the suspicion. However, a trade-off amongst share image quality and recovered secret image exist. This study presents VSS technique for meaningful shares using Boolean operation. Meaningful shares are generated by embedding different number of bits from secret and cover images. Likewise, lossless secret image is reconstructed using these meaningful shares while decoding. The combination of bits provide different visual quality of shares. Hence, in this paper, distinct bit combination is studied and optimum combination is reported.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"54 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACAT.2018.8933540","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Visual secret sharing (VSS) scheme generates shares by encoding secret image into meaningless images. Human visual system is utilized to reveal secret image by share superimposition. XOR-based VSS scheme excels the visual performance of image and resolves the pixel alignment issue. Recently, the concept of meaningful shares is developed to share secret image to reduce the suspicion. However, a trade-off amongst share image quality and recovered secret image exist. This study presents VSS technique for meaningful shares using Boolean operation. Meaningful shares are generated by embedding different number of bits from secret and cover images. Likewise, lossless secret image is reconstructed using these meaningful shares while decoding. The combination of bits provide different visual quality of shares. Hence, in this paper, distinct bit combination is studied and optimum combination is reported.
基于布尔运算的有意义共享的可视化秘密共享技术
视觉秘密共享(VSS)方案通过将秘密图像编码为无意义图像来生成共享。利用人的视觉系统,通过共享叠加来揭示秘密图像。基于xor的VSS方案提高了图像的视觉性能,解决了像素对齐问题。近年来,人们提出了有意义的共享概念来共享秘密图像,以减少怀疑。然而,共享图像质量和恢复的秘密图像之间存在权衡。本研究利用布尔运算提出有意义股份的VSS技术。通过从秘密和封面图像中嵌入不同数量的比特来生成有意义的共享。同样,在解码时利用这些有意义的共享重构无损秘密图像。比特的组合提供了不同的股票视觉质量。因此,本文研究了不同比特组合,并给出了最优组合。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信