A Robust Watermarking Scheme using Lifting Wavelet Transform and Singular Value Decomposition

被引：5
|
作者：
Bhardwaj, Anuj [1 ]
Verma, Deval [1 ]
Verma, Vivek Singh [2 ]
机构：
[1] Jaypee Inst Informat Technol, Noida 201307, India
[2] Ajay Kumar Garg Engn Coll, Ghaziabad 201009, India
来源：
MATHEMATICAL SCIENCES AND ITS APPLICATIONS | 2017年 / 1802卷
关键词：
Lifting wavelet transform; singular value decomposition; watermarking; IMAGE WATERMARKING; CONSTRUCTION; DOMAIN; SVD;
D O I：
10.1063/1.4973252
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The present paper proposes a robust image watermarking scheme using lifting wavelet transform (LWT) and singular value decomposition (SVD). Second level LWT is applied on host/cover image to decompose into different subbands. SVD is used to obtain singular values of watermark image and then these singular values are updated with the singular values of LH2 subband. The algorithm is tested on a number of benchmark images and it is found that the present algorithm is robust against different geometric and image processing operations. A comparison of the proposed scheme is performed with other existing schemes and observed that the present scheme is better not only in terms of robustness but also in terms of imperceptibility.
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页数：7
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