Adaptive Digital Watermarking Using RDWT and SVD

被引:0
|
作者
Chen, Lei [1 ]
Zhao, Jiying [1 ]
机构
[1] Univ Ottawa, Sch Elect Engn & Comp Sci, 800 King Edward Ave, Ottawa, ON K1N 6N5, Canada
关键词
Digital Watermarking; Redundant Discrete Wavelet Transform (RDWT); Singular Value Decomposition (SVD); Noise Visibility Function (NVF);
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper proposes a new scheme for secure digital watermarking and copyright protection of videos. The approach presented here is based on redundant discrete wavelet transform (RDWT) and singular value decomposition (SVD). The video frames and the watermark are decomposed by RDWT, and the watermark is embedded into the subbands of the I-frames. The singular values of the I-frames are modified with the singular values of the visual watermark. Meanwhile, the watermark embedding strength is adjusted adaptively using the noise visibility function (NVF) with local properties. The approach is efficient and appropriate for real-time applications. The experimental results demonstrate that the proposed approach has good performance in preserving high quality of the video, and the watermark can be extracted accurately after various attacks.
引用
收藏
页码:47 / 51
页数:5
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