For copyright protection, a watermark signal is embedded in host images with a secret key, and a correlation is applied to judge the presence of watermark signal in the watermark detection. This paper treats a discrete wavelet transform (DWT)-based image watermarking method under specified false positive probability. We propose a new watermarking method to improve the detection performance by using not only positive correlation but also negative correlation. Also we present a statistical analysis for the detection performance with taking into account the false positive probability and prove the effectiveness of the proposed method. By using some experimental results, we verify the statistical analysis and show this method serves to improve the robustness against some attacks.
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Masayoshi NAKAMOTO, Kohei SAYAMA, Mitsuji MUNEYASU, Tomotaka HARANO, Shuichi OHNO, "Improvement of Detection Performance in DWT-Based Image Watermarking under Specified False Positive Probability" in IEICE TRANSACTIONS on Fundamentals,
vol. E94-A, no. 2, pp. 661-670, February 2011, doi: 10.1587/transfun.E94.A.661.
Abstract: For copyright protection, a watermark signal is embedded in host images with a secret key, and a correlation is applied to judge the presence of watermark signal in the watermark detection. This paper treats a discrete wavelet transform (DWT)-based image watermarking method under specified false positive probability. We propose a new watermarking method to improve the detection performance by using not only positive correlation but also negative correlation. Also we present a statistical analysis for the detection performance with taking into account the false positive probability and prove the effectiveness of the proposed method. By using some experimental results, we verify the statistical analysis and show this method serves to improve the robustness against some attacks.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E94.A.661/_p
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@ARTICLE{e94-a_2_661,
author={Masayoshi NAKAMOTO, Kohei SAYAMA, Mitsuji MUNEYASU, Tomotaka HARANO, Shuichi OHNO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Improvement of Detection Performance in DWT-Based Image Watermarking under Specified False Positive Probability},
year={2011},
volume={E94-A},
number={2},
pages={661-670},
abstract={For copyright protection, a watermark signal is embedded in host images with a secret key, and a correlation is applied to judge the presence of watermark signal in the watermark detection. This paper treats a discrete wavelet transform (DWT)-based image watermarking method under specified false positive probability. We propose a new watermarking method to improve the detection performance by using not only positive correlation but also negative correlation. Also we present a statistical analysis for the detection performance with taking into account the false positive probability and prove the effectiveness of the proposed method. By using some experimental results, we verify the statistical analysis and show this method serves to improve the robustness against some attacks.},
keywords={},
doi={10.1587/transfun.E94.A.661},
ISSN={1745-1337},
month={February},}
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TY - JOUR
TI - Improvement of Detection Performance in DWT-Based Image Watermarking under Specified False Positive Probability
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 661
EP - 670
AU - Masayoshi NAKAMOTO
AU - Kohei SAYAMA
AU - Mitsuji MUNEYASU
AU - Tomotaka HARANO
AU - Shuichi OHNO
PY - 2011
DO - 10.1587/transfun.E94.A.661
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E94-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2011
AB - For copyright protection, a watermark signal is embedded in host images with a secret key, and a correlation is applied to judge the presence of watermark signal in the watermark detection. This paper treats a discrete wavelet transform (DWT)-based image watermarking method under specified false positive probability. We propose a new watermarking method to improve the detection performance by using not only positive correlation but also negative correlation. Also we present a statistical analysis for the detection performance with taking into account the false positive probability and prove the effectiveness of the proposed method. By using some experimental results, we verify the statistical analysis and show this method serves to improve the robustness against some attacks.
ER -