Improved autocorrelation function based watermarking with side information

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We propose an improved autocorrelation function (ACF)based image watermarking that is robust to combined geometric and removal attacks. ACF-based watermarking is thought of as one of the most effective watermarking schemes that resist geometric attacks. In this watermarking scheme, the autocorrelation peaks of the watermark play an important role for geometric attack estimation. The peaks, however, are vulnerable to attacks. The proposed scheme enhances the performance of ACF-based watermarking by improving the strength of the peaks. The information of an original image is used at the embedding time, so that the detector can extract strong autocorrelation peaks. Experimental results show that the proposed scheme yields better robustness than conventional ACF based watermarking against combined geometric-removal attacks. 2005 SPIE and IS&T.
Publisher
I S & T - SOC IMAGING SCIENCE TECHNOLOGY
Issue Date
2005-01
Language
English
Article Type
Article
Keywords

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Citation

JOURNAL OF ELECTRONIC IMAGING, v.14, pp.1419 - 1424

ISSN
1017-9909
DOI
10.1117/1.1868000
URI
http://hdl.handle.net/10203/17179
Appears in Collection
CS-Journal Papers(저널논문)
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