SINGULAR VALUE DECOMPOSITION AND SPACE/SPATIAL-FREQUENCY ANALYSIS APPLIED TO DIGITAL WATERMARKING

被引：0
|
作者：
Zaric, Nikola [1 ]
Orovic, Irena [1 ]
Stankovic, Srdjan [1 ]
机构：
[1] Univ Montenegro, Fac Elect Engn, Podgorica 20000, Montenegro
来源：
2012 PROCEEDINGS OF THE 20TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) | 2012年
关键词：
singular value decomposition; space/spatial-frequency analysis; digital image watermarking; space-varying filtering;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A watermarking procedure in the space/spatial-frequency domain, based on the singular value decomposition is proposed. Singular values are used for selection of pixels suitable for watermarking. Generally, regions for watermarking are characterized as: busy and moderate busy. For pixels from busy regions the entire middle frequency content in the space/spatial frequency domain is used for watermarking. In the case of moderate busy pixels the left and right singular vectors are used to shape watermark embedding region. Watermark modeling, embedding, and detection are performed in the space/spatial-frequency domain. The efficiency of the proposed procedure is tested under various attacks.
引用
收藏
页码：1698 / 1702
页数：5
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