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Adaptive and blind watermarking scheme based on optimal SVD blocks selection

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Abstract

To protect the ownership of the digital products, a novel adaptive and blind watermarking scheme is designed. Firstly, the underlying reason of image quality degradation in singular value decomposition (SVD)-based watermarking scheme is analyzed and the potential scenario causing visible destroy is pointed out. Then the optimal SVD blocks selection strategy is proposed to improve the imperceptibility. Different from other block selection rules devised by subjective evaluation means, our selection rule aims to retain the image quality as much as possible from the source. Furthermore, information entropy is utilized to achieve the purpose of adaptive embedding. In the experiment, the proposed watermarking scheme is tested under several attacks, such as noise attack, JPEG compression, blurring, sharping, and etc. Finally, the proposed watermarking scheme is compared with other existing schemes, and the experimental results demonstrate the robustness, imperceptibility and superior of the proposed watermarking scheme.

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Acknowledgements

This work is supported by the National Natural Science Foundation of China (Grant Nos. 61861029 and 61462061), the Department of Human Resources and Social security of Jiangxi Province, the Major Academic Discipline and Technical Leader of Jiangxi Province (Grant No. 20162BCB22011), the Natural Science Foundation of Jiangxi Province (Grant No. 20171BAB202002), and the Cultivation Plan of Applied Research of Jiangxi Province (Grant no. 20181BBE58022).

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Authors and Affiliations

  1. Department of Electronic Information Engineering, Nanchang University, Nanchang, 330031, China

    An-Wei Luo, Li-Hua Gong & Nan-Run Zhou

  2. XLIM (UMR CNRS 7252), University of Poitiers, Poitiers, France

    Wei-Ping Zou

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  1. An-Wei Luo
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  2. Li-Hua Gong
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  3. Nan-Run Zhou
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  4. Wei-Ping Zou
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Correspondence to Nan-Run Zhou.

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Luo, AW., Gong, LH., Zhou, NR. et al. Adaptive and blind watermarking scheme based on optimal SVD blocks selection. Multimed Tools Appl 79, 243–261 (2020). https://doi.org/10.1007/s11042-019-08074-2

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  • DOI: https://doi.org/10.1007/s11042-019-08074-2

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