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A Novel Image Tamper Detection and Self-Recovery Algorithm Based on Watermarking and Chaotic System

Author

Listed:
  • Yewen Li

    (School of Information Engineering, Minzu University of China, Beijing 100081, China
    National Language Resource Monitoring and Research Center of Minority Languages, Minzu University of China, Beijing 100081, China
    Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100081, China)

  • Wei Song

    (School of Information Engineering, Minzu University of China, Beijing 100081, China
    National Language Resource Monitoring and Research Center of Minority Languages, Minzu University of China, Beijing 100081, China)

  • Xiaobing Zhao

    (School of Information Engineering, Minzu University of China, Beijing 100081, China
    National Language Resource Monitoring and Research Center of Minority Languages, Minzu University of China, Beijing 100081, China)

  • Juan Wang

    (School of Information Engineering, Minzu University of China, Beijing 100081, China)

  • Lizhi Zhao

    (School of Information Engineering, Minzu University of China, Beijing 100081, China)

Abstract

With the development of image editing software techniques, the content integrity and authenticity of original digital images become more and more important in digital content security. A novel image tampering detection and recovery algorithm based on digital watermarking technology and a chaotic system is proposed, and it can effectively locate the tampering region and achieve the approximate recovery of the original image by using the hidden information. The pseudo-random cyclic chain is realized by the chaotic system to construct the mapping relationship between the image subblocks. It can effectively guarantee the randomness of the positional relationship between the hidden information and the original image block for the better ergodicity of the pseudo-random chain. The recovery value optimization algorithm can represent image information better. In addition to the traditional Level-1 recovery, a weight adaptive algorithm is designed to distinguish the original block from the primary recovery block, allowing 3 × 3 neighbor block recovery to achieve better results. The experimental results show that the hierarchical tamper detection algorithm makes tamper detection have higher precision. When facing collage attacks and large general tampering, it will have higher recovery image quality and better resistance performance.

Suggested Citation

  • Yewen Li & Wei Song & Xiaobing Zhao & Juan Wang & Lizhi Zhao, 2019. "A Novel Image Tamper Detection and Self-Recovery Algorithm Based on Watermarking and Chaotic System," Mathematics, MDPI, vol. 7(10), pages 1-17, October.
    • Handle: RePEc:gam:jmathe:v:7:y:2019:i:10:p:955-:d:275854
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    Cited by:

    1. Qiumei Zheng & Nan Liu & Fenghua Wang, 2020. "An Adaptive Embedding Strength Watermarking Algorithm Based on Shearlets’ Capture Directional Features," Mathematics, MDPI, vol. 8(8), pages 1-19, August.

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