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Better use of human visual model in watermarking based on linear prediction synthesis filter
Zhu, XS; Wang, YS; Cox, IJ; Kalker, T; Lee, HK
Source PublicationDIGITAL WATERMARKING
2005
Volume3304Pages:66-76
SubtypeArticle
AbstractThis 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 HeadingsScience & Technology ; Technology
WOS KeywordALGORITHM
Indexed ByISTP ; SCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS IDWOS:000228693600006
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9133
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
Recommended Citation
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.
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