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Carrier Robust Reversible Watermark Model Based on Image Block Chain Authentication

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Image and Graphics (ICIG 2021)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12888))

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Abstract

Digital watermarking technology protects information security from the dimension of the existence of hidden information. At present, most watermarking algorithms only focus on the embedding and extraction of secret information, which usually brings permanent distortion to the carrier. This poses many challenges in scenarios that require high data authentication, such as medical image processing and military communications. This paper proposes a robust reversible watermarking algorithm for carriers based on block chain authentication. It is designed to mark the tampered location of the carrier with a fragile watermark, and restore the tampered information through authentication before and after, so that the peak signal-to-noise ratio of the restored carrier can be greatly improved when tampering occurs. The experimental results show that the scheme has good recovery ability in the scene of tampering with the watermark image.

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Acknowledgement

The authors would like to thank the anonymous referees for their valuable comments and helpful suggestions. The work is supported by Science and Technology Project of the Headquarters of State Grid Corporation of China ,“The research and technology for collaborative defense and linkage disposal in network security devices” (5700-202152186A-0–0-00).

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Correspondence to Jianyi Liu .

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Gao, Y., Zhang, R., Li, X., Liu, J., Zhao, K., Cheng, X. (2021). Carrier Robust Reversible Watermark Model Based on Image Block Chain Authentication. In: Peng, Y., Hu, SM., Gabbouj, M., Zhou, K., Elad, M., Xu, K. (eds) Image and Graphics. ICIG 2021. Lecture Notes in Computer Science(), vol 12888. Springer, Cham. https://doi.org/10.1007/978-3-030-87355-4_59

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  • DOI: https://doi.org/10.1007/978-3-030-87355-4_59

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-87354-7

  • Online ISBN: 978-3-030-87355-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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