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A HEVC Steganography Method Based on QDCT Coefficient

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Intelligent Computing Methodologies (ICIC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12465))

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Abstract

This paper presents a HEVC video steganography algorithm based on QDCT coefficient without intra-frame distortion drift. We embed the secret message into the multi-coefficients of the selected 8 × 8 luminance QDCT blocks which meet our conditions to avert the distortion drift. With the use of three multi-coefficients in each row or column of the 8 × 8 luminance QDCT block, the embedded capacity is considerably larger than using single multi-coefficients. The experimental results show that this video steganography algorithm can effectively avert intra-frame distortion drift and get good visual quality.

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Acknowledgement

This paper is sponsored by the National Natural Science Foundation of China (NSFC, Grant 61572447).

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Authors and Affiliations

  1. College of Information Science and Technology, Zhengzhou Normal University, Zhengzhou, China

    Si Liu, Yunxia Liu, Cong Feng & Hongguo Zhao

  2. Peking University, Beijing, China

    Yu Huang

Authors
  1. Si Liu
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  2. Yunxia Liu
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  3. Cong Feng
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  4. Hongguo Zhao
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  5. Yu Huang
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Corresponding author

Correspondence to Yunxia Liu .

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Editors and Affiliations

  1. Machine Learning and Systems Biology, Tongji University, Shanghai, China

    De-Shuang Huang

  2. School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, North Wollongong, NSW, Australia

    Prashan Premaratne

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Liu, S., Liu, Y., Feng, C., Zhao, H., Huang, Y. (2020). A HEVC Steganography Method Based on QDCT Coefficient. In: Huang, DS., Premaratne, P. (eds) Intelligent Computing Methodologies. ICIC 2020. Lecture Notes in Computer Science(), vol 12465. Springer, Cham. https://doi.org/10.1007/978-3-030-60796-8_54

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  • DOI: https://doi.org/10.1007/978-3-030-60796-8_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60795-1

  • Online ISBN: 978-3-030-60796-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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