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A secure video watermarking technique based on hyperchaotic Lorentz system

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Abstract

The advancement of multimedia and computer technology has facilitated increasing number of research on digital video watermarking. Video watermarking techniques can be used not only in the protection of multimedia video works’ copyright, but also in the transmission of confidential data. This paper presents a color video watermarking algorithm based on hyperchaotic Lorentz system. Firstly, the color watermark images are scrambled using hyperchaotic Lorentz system to enhance its confidentiality. Secondly, we use shot boundary detection to extract non-motion frames of the video. Then the chaotic sequence is used to determine the specific frames among the non-motion frames. Next, we apply the discrete wavelet transform to specific frames to get the appropriate subbands. And finally the encrypted watermarks are embedded into the selected subbands. The performance of proposed method is evaluated by Peak Signal-to-Noise Ratio, Normalized Correlation and Structural Similarity Index Measure. Experiments showed that the average PSNR and SSIM of watermarked frames are 57.00 dB and 0.99, respectively, which indicate that the proposed method has high imperceptibility. The NC value of 1.00 proves that the watermark can be transmitted without loss under no attacks. And we also tested the robustness and imperceptibility in the presence of various attacks including image processing attacks, geometrical attacks and video attacks. The method we proposed enrich the digital watermarking techniques.

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Acknowledgments

The work is supported by National Natural Science Foundation of China (Grant Nos. 61571372, 61672436), Fundamental Research Funds for the Central Universities (Grant Nos. XDJK2016A001, XDJK2017A005) and Special key project of basic science and frontier technology research of Chongqing (Grant Nos. cstc2017jcyjBX0050).

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Correspondence to Zhenlei Cao.

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Cao, Z., Wang, L. A secure video watermarking technique based on hyperchaotic Lorentz system. Multimed Tools Appl 78, 26089–26109 (2019). https://doi.org/10.1007/s11042-019-07809-5

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