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Advances in Intelligent Information Hiding and Multimedia Signal Processing pp 79–86Cite as

Enhanced Secret Hiding Mechanism Based on Genetic Algorithm

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 156))

Abstract

Many industrial production processes, transactions, and multimedia communications are generated in daily life. Digital watermarking technology plays a vital role in the field of multimedia information security. Information security has got many remarkable achievements. However, a contradiction between the robustness of the watermark and the quality of the cover multimedia has not been paid attention by scholars. This paper proposes an algorithm to improve the cover image quality of QIM-based watermarking algorithm based on genetic algorithm. The experimental results demonstrate that the proposed algorithm is effective.

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References

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Acknowledgements

This work was supported by the Natural Science Foundation of Fujian Province Grant 2018Y3001, Project of Fujian Education Department Funds Grant JK2017029, and the Scientific Research Project of Fujian University of Technology Grant GY-Z160130.

Author information

Authors and Affiliations

  1. Fujian Provincial Key Lab of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, China

    Cai-Jie Weng, Shi-Jian Liu, Jeng-Shyang Pan & Trong-The Nguyen

  2. Fujian Key Laboratory for Automotive Electronics and Electric Drive, Fujian University of Technology, Fuzhou, China

    Lyuchao Liao

  3. Department of Information Technology, Haiphong Private University, Haiphong, Vietnam

    Trong-The Nguyen

  4. Smart Fuzhou Management Service Center, Fujian, China

    Wei-Dong Zeng

  5. Fuzhou Investigation and Surveying Institute, Fujian, China

    Ping Zhang & Lei Huang

Authors
  1. Cai-Jie Weng
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  2. Shi-Jian Liu
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  3. Jeng-Shyang Pan
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  4. Lyuchao Liao
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  5. Trong-The Nguyen
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  6. Wei-Dong Zeng
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  7. Ping Zhang
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  8. Lei Huang
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Corresponding author

Correspondence to Jeng-Shyang Pan .

Editor information

Editors and Affiliations

  1. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao Shi, Shandong, China

    Jeng-Shyang Pan

  2. Northeast Electric Power University, Chuanying Qu, Jilin, China

    Jianpo Li

  3. Swinburne University of Technology, Hawthorn, Melbourne, Australia

    Pei-Wei Tsai

  4. Centre for Artificial Intelligence, University of Technology Sydney, Sydney, NSW, Australia

    Lakhmi C. Jain

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Cite this paper

Weng, CJ. et al. (2020). Enhanced Secret Hiding Mechanism Based on Genetic Algorithm. In: Pan, JS., Li, J., Tsai, PW., Jain, L. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. Smart Innovation, Systems and Technologies, vol 156. Springer, Singapore. https://doi.org/10.1007/978-981-13-9714-1_9

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