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Scalable Tamper Detection and Localization Scheme for JPEG2000 Codestreams

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Advances in Multimedia Information Processing -- PCM 2015 (PCM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9315))

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Abstract

We propose an efficient tamper detection scheme for JPEG2000 codestreams. The proposed scheme embeds information while maintaining the scalability function of JPEG2000 and can detect tampered layers or tampered resolution levels for each decoded image quality level. Marker codes that delimit a JPEG2000 codestream must not be generated in the body data that possesses the image information. We can prevent new marker codes from being generated when embedding information into the JPEG2000 codestream. The experimental results show that our scheme can preserve the high quality of the embedded images.

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Acknowledgments

This work was supported by JSPS KAKENHI Grant Number 26820138.

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Authors and Affiliations

  1. Graduate School of Advanced Integration Science, Chiba University, 1-33 Yayoicho, Inage-ku, Chiba-shi, Chiba, 263-8522, Japan

    Takeshi Ogasawara, Shoko Imaizumi & Naokazu Aoki

Authors
  1. Takeshi Ogasawara
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  2. Shoko Imaizumi
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  3. Naokazu Aoki
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Corresponding author

Correspondence to Takeshi Ogasawara .

Editor information

Editors and Affiliations

  1. Gwangju Institute of Science and Technology, Gwangju, Korea (Republic of)

    Yo-Sung Ho

  2. Chinese Academy of Sciences, Institute of Automation, Beijing, China

    Jitao Sang

  3. KAIST, Daejeon, Korea (Republic of)

    Yong Man Ro

  4. KAIST, Daejeon, Korea (Republic of)

    Junmo Kim

  5. College of Computer Science, Zhejiang University, Hangzhou, China

    Fei Wu

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Ogasawara, T., Imaizumi, S., Aoki, N. (2015). Scalable Tamper Detection and Localization Scheme for JPEG2000 Codestreams. In: Ho, YS., Sang, J., Ro, Y., Kim, J., Wu, F. (eds) Advances in Multimedia Information Processing -- PCM 2015. PCM 2015. Lecture Notes in Computer Science(), vol 9315. Springer, Cham. https://doi.org/10.1007/978-3-319-24078-7_34

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  • DOI: https://doi.org/10.1007/978-3-319-24078-7_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24077-0

  • Online ISBN: 978-3-319-24078-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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