期刊
INFORMATION SCIENCES
卷 417, 期 -, 页码 381-400出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2017.07.026
关键词
Image watermarking; SVD; Integer wavelet transform; Multi-objective ant colony optimization (MOACO); False positive problem (FPP)
资金
- Universiti Sains Malaysia
Although image watermarking schemes based on singular value decomposition (SVD) demonstrate high robustness and imperceptibility, they are exposed to the false positive problem (FPP). This drawback mostly occurs when embedding steps depend on singular values while singular vectors are used as secret keys. In this study, a new reliable SVD-based image watermarking scheme that uses integer wavelet transform (IWT) is proposed to overcome FPP and fulfil all watermarking requirements. Unlike in other schemes, the S and V matrices of the watermark are used as secret keys, whereas the S singular vector of the watermark is embedded into the singular values of the host image. The additional secret key is obtained from the watermarked image during the embedding process to increase security and avoid FPP completely. To improve the robustness, as well as achieve balance between robustness and imperceptibility, multi-objective ant colony optimization (MOACO) is utilized to find the optimal scaling factors, namely, multiple zooming factors. Results of the robustness, imperceptibility, and reliability tests demonstrate that the proposed IWT-SVD-MOACO scheme outperforms several previous schemes and avoids FPP completely. (C) 2017 Elsevier Inc. All rights reserved.
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