In this paper, a maximum-likelihood (ML) detection scheme based on Bayes's decision theory is proposed for image watermarking in wavelet transform domain. The ...
In this paper, a maximum-likelihood (ML) detection scheme based on Bayes' decision theory is proposed for image watermarking in wavelet transform domain. The ...
Wavelet domain watermarking using maximum-likelihood detection. Author(s):. Ng, T.M. ( National Univ. of Singapore (Singapore) ); Garg, H.K. ( National Univ ...
Abstract—Digital image watermarks can be detected in the transform domain using maximum-likelihood detection, whereby the decision threshold is obtained ...
Mar 21, 2005 · Digital image watermarks can be detected in the transform domain using maximum-likelihood detection, whereby the decision threshold is ...
In this thesis, this model is used to develop new digital image watermarking schemes. Additive and multiplicative watermarking schemes in the wavelet domain are ...
Digital image watermarks can be detected in the transform domain using maximum-likelihood detection, whereby the decision threshold is obtained using the Neyman ...
Nov 20, 2016 · This paper presents a novel detector for wavelet domain additive image watermarking. We use two dimensional generalized autoregressive conditional ...
Jun 1, 2013 · In this study, the authors propose a wavelet domain still image watermark detection method which uses the Bessel K probability density ...
Abstract. In this paper, we propose an autocorrelation function (ACF) based watermarking scheme in the discrete wavelet transform (DWT) domain.
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