Improvement of Detection Performance in DWT-Based Image Watermarking under Specified False Positive Probability
Author(s) -
Masayoshi Nakamoto,
Kohei Sayama,
Mitsuji Muneyasu,
Tomotaka Harano,
Shûichi Ohno
Publication year - 2011
Publication title -
ieice transactions on fundamentals of electronics communications and computer sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.188
H-Index - 52
eISSN - 1745-1337
pISSN - 0916-8508
DOI - 10.1587/transfun.e94.a.661
Subject(s) - watermark , digital watermarking , robustness (evolution) , artificial intelligence , discrete wavelet transform , computer science , image (mathematics) , pattern recognition (psychology) , correlation , detection theory , wavelet , computer vision , mathematics , wavelet transform , telecommunications , biochemistry , chemistry , geometry , detector , gene
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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