Bitwise level image permutation using a sinusoidal signal

B. Nini, Asma Ounzar
{"title":"Bitwise level image permutation using a sinusoidal signal","authors":"B. Nini, Asma Ounzar","doi":"10.1109/ICMCS.2016.7905583","DOIUrl":null,"url":null,"abstract":"This paper presents a permutation technique based on a sinusoid whose complexity is O(N) but providing a very acceptable security. It considers an image as a set of vertical and horizontal bits that shift under the effect of a sinusoidal wave. This results in the permutation of the image content at the level of bits. As a result, for only one round of the algorithm, the correlation between pixel values may reach 0.03. Moreover, the proposed method offers the opportunity to permute a selective free form. The algorithm is able to consider any concave or convex curve in the selected part. The significance of these two criterion is in the possibility to mix the technique together with an object detection application in order to encrypt the object of interest in a live broadcast.","PeriodicalId":345854,"journal":{"name":"2016 5th International Conference on Multimedia Computing and Systems (ICMCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 5th International Conference on Multimedia Computing and Systems (ICMCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMCS.2016.7905583","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

This paper presents a permutation technique based on a sinusoid whose complexity is O(N) but providing a very acceptable security. It considers an image as a set of vertical and horizontal bits that shift under the effect of a sinusoidal wave. This results in the permutation of the image content at the level of bits. As a result, for only one round of the algorithm, the correlation between pixel values may reach 0.03. Moreover, the proposed method offers the opportunity to permute a selective free form. The algorithm is able to consider any concave or convex curve in the selected part. The significance of these two criterion is in the possibility to mix the technique together with an object detection application in order to encrypt the object of interest in a live broadcast.
使用正弦信号的位级图像置换
本文提出了一种基于正弦波的排列技术,其复杂度为0 (N),但具有很好的安全性。它认为图像是在正弦波的作用下移位的一组垂直和水平位。这将导致图像内容在位水平上的排列。因此,仅在一轮算法中,像素值之间的相关性可能达到0.03。此外,所提出的方法提供了置换选择性自由形式的机会。该算法能够考虑所选零件中的任何凹或凸曲线。这两个标准的意义在于,为了对直播中感兴趣的对象进行加密,可以将该技术与对象检测应用程序混合在一起。
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:604180095
Book学术官方微信