A new detecting scheme for blind images watermarking
Zhongwei Sun, Feng Dengguo · 2005
Watemark detection plays a crucial role in digital watermarking. A robust DWT-domain watermark detection scheme is proposed in this paper. First, generalized Gaussian distributions are applied to statistically model the wavelet coefficients of the detail sub-bands of the original image. Then, based on the theory of statistical inference and weak signal detection in non-Gaussian noise, a robust blind detection algorithm is derived. The performance of the new detector is analyzed. And the validity of the detector is also tested.