CASIA OpenIR  > 09年以前成果
Better use of human visual model in watermarking based on linear prediction synthesis filter
Zhu, XS; Wang, YS; Cox, IJ; Kalker, T; Lee, HK
2005
发表期刊DIGITAL WATERMARKING
卷号3304页码:66-76
文章类型Article
摘要This paper presents a new approach on utilizing human visual model (HVM) for watermarking. The approach introduces the linear prediction synthesis filter, whose parameters are derived from a set of just noticeable differences estimated by HVM. After being filtered by such a filter, the watermark can be adapted to characteristics of human visual system. As a result, the watermark visibility is noticeably decreased, while at the same time enhancing its energy, The theoretic analysis of the detector is done to illustrate the affect of the filter on detection value. And the experimental results prove the effectiveness of the new approach.
WOS标题词Science & Technology ; Technology
关键词[WOS]ALGORITHM
收录类别ISTP ; SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS记录号WOS:000228693600006
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9133
专题09年以前成果
作者单位Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Zhu, XS,Wang, YS,Cox, IJ,et al. Better use of human visual model in watermarking based on linear prediction synthesis filter[J]. DIGITAL WATERMARKING,2005,3304:66-76.
APA Zhu, XS,Wang, YS,Cox, IJ,Kalker, T,&Lee, HK.(2005).Better use of human visual model in watermarking based on linear prediction synthesis filter.DIGITAL WATERMARKING,3304,66-76.
MLA Zhu, XS,et al."Better use of human visual model in watermarking based on linear prediction synthesis filter".DIGITAL WATERMARKING 3304(2005):66-76.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhu, XS]的文章
[Wang, YS]的文章
[Cox, IJ]的文章
百度学术
百度学术中相似的文章
[Zhu, XS]的文章
[Wang, YS]的文章
[Cox, IJ]的文章
必应学术
必应学术中相似的文章
[Zhu, XS]的文章
[Wang, YS]的文章
[Cox, IJ]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。