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A Novel Hybrid Image Authentication Scheme for AMBTC-Compressed Images

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Digital-Forensics and Watermarking (IWDW 2014)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 9023))

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Abstract

A novel hybrid image authentication scheme is proposed in this paper to protect the integrity of images that are compressed by absolute moment block truncation coding (AMBTC). In this proposed scheme, all blocks of a compressed image are classified into two groups. For smooth blocks, the authentication code for each block will be embedded into the bitmap of each block. For complex blocks, the authentication code will be embedded into quantization levels of each block according to a reference table. The experimental results show that this proposed scheme achieves high image quality of the embedded image and almost 100 % detection precision when eb = 3.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Management, Providence University, Taichung, Taiwan

    Chia-Chen Lin & Yuehong Huang

  2. Department of Information Communications, Chinese Culture University, Taipei, Taiwan

    Wei-Liang Tai

Authors
  1. Chia-Chen Lin
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  2. Yuehong Huang
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  3. Wei-Liang Tai
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Corresponding author

Correspondence to Chia-Chen Lin .

Editor information

Editors and Affiliations

  1. NJIT, Newark, New Jersey, USA

    Yun-Qing Shi

  2. Korea University, Seoul, Korea, Republic of (South Korea)

    Hyoung Joong Kim

  3. Universidad de La Laguna, La Laguna, Spain

    Fernando Pérez-González

  4. Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan

    Ching-Nung Yang

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Lin, CC., Huang, Y., Tai, WL. (2015). A Novel Hybrid Image Authentication Scheme for AMBTC-Compressed Images. In: Shi, YQ., Kim, H., Pérez-González, F., Yang, CN. (eds) Digital-Forensics and Watermarking. IWDW 2014. Lecture Notes in Computer Science(), vol 9023. Springer, Cham. https://doi.org/10.1007/978-3-319-19321-2_33

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  • DOI: https://doi.org/10.1007/978-3-319-19321-2_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19320-5

  • Online ISBN: 978-3-319-19321-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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