A novel robust scaling image watermarking scheme based on Gaussian Mixture Model

作者：

Highlights：

• We propose a wavelet domain scaling watermarking method.

• We design an ML detector and analyze its performance analytically.

• We use L-curve method to find tradeoff between imperceptibility and robustness.

• Experimental results demonstrate the high performance of the proposed method.

摘要

•We propose a wavelet domain scaling watermarking method.•We design an ML detector and analyze its performance analytically.•We use L-curve method to find tradeoff between imperceptibility and robustness.•Experimental results demonstrate the high performance of the proposed method.

论文关键词：Gaussian Mixture Model (GMM),Statistical modeling,Maximum Likelihood detector,Wavelet transform,L-curve method

论文评审过程：Available online 24 October 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.10.015