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Secret Hiding Using Side Match Vector Quantization

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Soft Computing as Transdisciplinary Science and Technology

Part of the book series: Advances in Soft Computing ((AINSC,volume 29))

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Abstract

Since side match vector quantization (SMVQ) provides better image quality of reconstructed image and compression bit rate than vector quantization (VQ) does, it becomes another choice to compress the transmitting images when the bandwidth is limited. To expand the cover media for transmitting confidential information, we propose a novel data hiding scheme which embeds secret data into the SMVQ-compressed image. In terms of the payload capacity, the visual quality, and the compression rate, experimental results confirm that the performances of our scheme are better than that of other information hiding schemes for VQ-based and SMVQ-based compressed images. In addition, the embedded secret data can be extracted from the stego-image without referencing the original cover image.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, 621, Taiwan, R.O.C.

    Chin-Chen Chang & Wei-Liang Tai

  2. Department of Computer Science and Information Management, Providence University, Taichung, 433, Taiwan, R.O.C.

    Chia-Chen Lin

Authors
  1. Chin-Chen Chang
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  2. Wei-Liang Tai
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  3. Chia-Chen Lin
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science, Oklahoma State University, North Greenwood Avenue 700, 74106, Tulsa, USA

    Ajith Abraham

  2. Dept. of Computer Science and Systems Engineering, Muroran Institute of Technology, Mizumoto-cho 27-1, 050-8585, Muroran, Hokkaido, Japan

    Yasuhiko Dote

  3. Dept. of Computational Science and Engineering, Nagoya University, Furo-cho, Chikusa-ku, 464-8601, Nagoya, Aichi-ken, Japan

    Takeshi Furuhashi

  4. Institut für Sicherheits-/Prüftechnik, Fraunhofer IPK Berlin, Pascalstr. 8-9, 10587, Berlin, Germany

    Mario Köppen

  5. Division of Complex Systems Technology Graduate School of Engineering, University of Hokkaido, N-13, W-8 060 KITA-KU, Sapporo, Japan

    Azuma Ohuchi

  6. PRESTO Japan Science & Technology Corp. GSSM, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, 12-0012, Tokyo, Japan

    Yukio Ohsawa

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© 2005 Springer-Verlag Berlin Heidelberg

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Chang, CC., Tai, WL., Lin, CC. (2005). Secret Hiding Using Side Match Vector Quantization. In: Abraham, A., Dote, Y., Furuhashi, T., Köppen, M., Ohuchi, A., Ohsawa, Y. (eds) Soft Computing as Transdisciplinary Science and Technology. Advances in Soft Computing, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32391-0_25

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  • DOI: https://doi.org/10.1007/3-540-32391-0_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25055-5

  • Online ISBN: 978-3-540-32391-4

  • eBook Packages: EngineeringEngineering (R0)

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