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A High Robust Blind Watermarking Algorithm in DCT Domain

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3681))

Abstract

In this paper, we propose an effective algorithm of gray-level watermarks based on the characteristics of image. The DCT coefficients of the watermark image are embedded into the position of DCT domain of host image by considering the similarity of DCT blocks energy of both images. The algorithm recovers the watermark without any reference to the original image and we propose a post-processing procedure, which can correct the errors by the survived information, to obtain higher quality watermark. The experimental results show that the proposed algorithm adapted to the original image produces the most imperceptible and the most robust watermarked image under print-and-scanner and various attacks.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Tamkang University, 151, Ying-Chuan Rd. Tamsui, Taipei County, 25137, Taiwan , R.O.C.

    Ching-Tang Hsieh & Min-Yen Hsieh

Authors
  1. Ching-Tang Hsieh
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  2. Min-Yen Hsieh
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, Moulsecoomb, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Hsieh, CT., Hsieh, MY. (2005). A High Robust Blind Watermarking Algorithm in DCT Domain. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552413_172

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  • DOI: https://doi.org/10.1007/11552413_172

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28894-7

  • Online ISBN: 978-3-540-31983-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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