An efficient method to improve the quality of watermarked cover image

W. Hsieh, Chuan-Fu Wu, Jeng-Yi Huang, Jyh-Long Lin, B. Sher
{"title":"An efficient method to improve the quality of watermarked cover image","authors":"W. Hsieh, Chuan-Fu Wu, Jeng-Yi Huang, Jyh-Long Lin, B. Sher","doi":"10.1109/ICDCSW.2002.1030780","DOIUrl":null,"url":null,"abstract":"In this paper, a general concept called the n+k/n method is introduced. In the n+k/n method, a special mapping function is defined to map an intermediate set with n+k bits into a n bit information set. In the embedding process, the intermediate set is embedded into a cover image rather than embedding the information set. If the distance between features of the cover image and the bits of the intermediate set is less than that between the features and information bits, the better the cover image quality. According to the idea of the n+k/n method, a special case called the n+1/n method is proposed. In this method, the mapping function is an exclusive-or operation. When an information set is given, two sets which satisfy the mapping function can be obtained. That which has a smaller distance from feature bits is selected as an intermediate set. In the paper, it is proved that the maximum distance between the intermediate set and feature set is less than the average distance between the information set and the feature set. The reduction rate of feature modification for the n+1/n method will reach 25%, and the improving quality in the embedded cover image is more than 2.5 db.","PeriodicalId":382808,"journal":{"name":"Proceedings 22nd International Conference on Distributed Computing Systems Workshops","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 22nd International Conference on Distributed Computing Systems Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDCSW.2002.1030780","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

In this paper, a general concept called the n+k/n method is introduced. In the n+k/n method, a special mapping function is defined to map an intermediate set with n+k bits into a n bit information set. In the embedding process, the intermediate set is embedded into a cover image rather than embedding the information set. If the distance between features of the cover image and the bits of the intermediate set is less than that between the features and information bits, the better the cover image quality. According to the idea of the n+k/n method, a special case called the n+1/n method is proposed. In this method, the mapping function is an exclusive-or operation. When an information set is given, two sets which satisfy the mapping function can be obtained. That which has a smaller distance from feature bits is selected as an intermediate set. In the paper, it is proved that the maximum distance between the intermediate set and feature set is less than the average distance between the information set and the feature set. The reduction rate of feature modification for the n+1/n method will reach 25%, and the improving quality in the embedded cover image is more than 2.5 db.
一种提高水印封面图像质量的有效方法
本文介绍了n+k/n法的一般概念。在n+k/n方法中,定义了一个特殊的映射函数,将n+k位的中间集映射为n位的信息集。在嵌入过程中,中间集不嵌入信息集,而是嵌入到封面图像中。如果封面图像的特征与中间集比特之间的距离小于特征与信息比特之间的距离,则封面图像质量越好。根据n+k/n方法的思想,提出了一种特殊的n+1/n方法。在这种方法中,映射函数是一个异或操作。当给定一个信息集时,可以得到两个满足映射函数的信息集。选取与特征位距离较小的作为中间集。本文证明了中间集与特征集之间的最大距离小于信息集与特征集之间的平均距离。n+1/n方法的特征修改减少率可达25%,嵌入封面图像的改进质量可达2.5 db以上。
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