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A reversible water marking algorithm for multimedia images using two-dimensional non-causal prediction and ESPVD

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Abstract

Reversible image watermarking algorithm is an important branch of information hiding, which can protect the integrity of data. Therefore, it is of great practical significance and practical value to study the reversible image water marking algorithm. A multimedia image watermarking algorithm based on two-dimensional non-causal prediction and edge based sorted pixel value difference (ESPVD) is proposed in this paper, which is used to protect the security of multimedia information. Firstly, the optimum prediction coefficients in the horizontal and vertical directions of image are calculated. Then, two-dimensional non-causal prediction of image is carried out according to raster scanning sequence, and prediction pixels and prediction errors are calculated. Finally, the morphological edge (ME) operator is used to identify edge pixel positions, and the ESPVD technology is used to embed the watermarking information. The experimental results show that the proposed algorithm has better performance than those of other image watermarking algorithms under the same embedding ability.

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Acknowledgements

This work is supported by the Natural Science Foundation of China (No. U1504613) and the Soft Science Research Project of Henan Intellectual Property Bureau (No. 20170106036).

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  1. School of Computer Science and Technology, Zhoukou Normal University, Zhoukou, 466100, Henan, China

    Yongjie Tan & Jie Qin

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  1. Yongjie Tan
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  2. Jie Qin
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Correspondence to Yongjie Tan.

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Tan, Y., Qin, J. A reversible water marking algorithm for multimedia images using two-dimensional non-causal prediction and ESPVD. Multimed Tools Appl 79, 1625–1640 (2020). https://doi.org/10.1007/s11042-019-08219-3

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  • DOI: https://doi.org/10.1007/s11042-019-08219-3

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