Trellis coded quantization for data hiding

E. Esen, A. A. Alatan, M. Askar
{"title":"Trellis coded quantization for data hiding","authors":"E. Esen, A. A. Alatan, M. Askar","doi":"10.1109/EURCON.2003.1248224","DOIUrl":null,"url":null,"abstract":"The intrusion of information theoretic tools into the data hiding realm lead to the design and analysis of new blind detection methods. Although an extended analysis has already been built on different quantization-based data hiding methods, we propose another quantization-based method, which uses trellis coded quantization. The performance of the proposed method is compared against other well-known methods by simulations. The promising results show that the proposed method can be preferred in certain applications.","PeriodicalId":337983,"journal":{"name":"The IEEE Region 8 EUROCON 2003. Computer as a Tool.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The IEEE Region 8 EUROCON 2003. Computer as a Tool.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EURCON.2003.1248224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

The intrusion of information theoretic tools into the data hiding realm lead to the design and analysis of new blind detection methods. Although an extended analysis has already been built on different quantization-based data hiding methods, we propose another quantization-based method, which uses trellis coded quantization. The performance of the proposed method is compared against other well-known methods by simulations. The promising results show that the proposed method can be preferred in certain applications.
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
栅格编码量化数据隐藏
信息理论工具对数据隐藏领域的入侵导致了新的盲检测方法的设计和分析。虽然已经对不同的基于量化的数据隐藏方法进行了扩展分析,但我们提出了另一种基于量化的方法,该方法使用网格编码量化。通过仿真,将该方法的性能与其他已知方法进行了比较。结果表明,该方法在某些应用中是优选的。
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
Retargetable tools for embedded software Aristotle still wins over Newton: an evaluation report of a new, simulation-supported approach to teach the concepts of inertia and gravity Matlab based time-domain simulation of multiconductor transmission line systems Computer in power electronics education Computer simulations for conceptual understanding of dielectrophoresis using JaCoB
×
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