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A Blind Image Watermarking Algorithm in the Combine Domain

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Cloud Computing and Security (ICCCS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10039))

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Abstract

This paper presents a novel blind digital image watermarking algorithm in the combine domains to resolve the protecting copyright problem. For embedding watermark, the generation principle and distribution features of direct current (DC) coefficient are utilized to directly modify the pixel values in the spatial domain, then 4 different sub-watermarks are embedded into different areas of the host image for four times, respectively. When extracting watermark, the sub-watermark is extracted with blind manner according to DC coefficients of watermarked image and the key-based quantization step, and then the statistical rule and “first to select, second to combine” are proposed to form the final watermark. Hence, the proposed algorithm not only has the simple and quick performance of the spatial domain but also has the high robustness feature of DCT domain. Many experiments have proved the proposed watermarking algorithm has good invisibility of watermark and strong robustness for many added attacks, e.g., JPEG compression, cropping, adding noise, etc. Comparison results also have shown the preponderances of the proposed algorithm.

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Acknowledgements

The research was supported partially by Doctoral Research Foundation of Ludong University (LY2014034), Natural Science Foundation of Shandong Province (ZR2014FM005), A Project of Shandong Province Higher Educational Science and Technology Program (J14LN20), and Key Science and Technology Plan Project of Yantai City (2016ZH057). The authors would like to thank all anonymous reviewers for their careful reading of this paper and their valuable suggestions which greatly improved of this work.

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Correspondence to Qingtang Su .

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Su, Q. (2016). A Blind Image Watermarking Algorithm in the Combine Domain. In: Sun, X., Liu, A., Chao, HC., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2016. Lecture Notes in Computer Science(), vol 10039. Springer, Cham. https://doi.org/10.1007/978-3-319-48671-0_1

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  • DOI: https://doi.org/10.1007/978-3-319-48671-0_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48670-3

  • Online ISBN: 978-3-319-48671-0

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