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Image-adaptive watermarking using 2D chirps

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Abstract

Linear chirps, a special case of polynomial phase exponentials, have recently been proposed for digital watermarking. In this work, we propose a known-host-state methodology for designing image watermarks that are robust to compression. We use a two-dimensional frequency-modulated chirp as a spreading function in a block-based spatial watermarking scheme. In each block, the chirp is used to embed binary phase information. Chirp parameters allow for spectral shaping of the watermark to match host content. Since host state is known to the embedder, it is possible to tune the chirp for optimum performance, particularly against compression. In contrast to existing chirp watermarking where only a single watermark is generally embedded, the proposed block chirp watermarking allows for a much higher payload. Detection is done using chirp transform subject to key exchange for security. We show that the proposed method significantly outperforms non-adaptive watermarking across all compression factors under variety of attacks.

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Authors and Affiliations

  1. Center for Advanced Communications, Villanova University, 800 Lancaster Ave., Villanova, PA, 19085, USA

    Yimin Zhang, Bijan G. Mobasseri, Behzad M. Dogahe & Moeness G. Amin

Authors
  1. Yimin Zhang
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  2. Bijan G. Mobasseri
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  3. Behzad M. Dogahe
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  4. Moeness G. Amin
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Corresponding author

Correspondence to Bijan G. Mobasseri.

Additional information

This work was supported by ONR under Grant No. N00014-04-1-0630. Parts of this work were presented at SPIE Annual Conference, Denver, CO, August 2004, and IEEE International Conference on Acoustics, Speech, and Signal Processing, Philadelphia, PA, March 2005.

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Zhang, Y., Mobasseri, B.G., Dogahe, B.M. et al. Image-adaptive watermarking using 2D chirps. SIViP 4, 105–121 (2010). https://doi.org/10.1007/s11760-008-0102-3

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  • DOI: https://doi.org/10.1007/s11760-008-0102-3

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