Blind optimum detector for robust image watermarking in nonsubsampled shearlet Domain

@article{Wang2016BlindOD,
  title={Blind optimum detector for robust image watermarking in nonsubsampled shearlet Domain},
  author={Xiangyang Wang and Yu-nan Liu and Huan Xu and Ai-Long Wang and Hong-Ying Yang},
  journal={Inf. Sci.},
  year={2016},
  volume={372},
  pages={634-654}
}
In this paper, we propose a blind robust image watermarking approach in the nonsubsampled Shearlet domain using Bessel K Form (BKF) modeling. Nonsubsampled shearlet transform (NSST) is an effective multi-scale and multi-direction analysis method, it not only can exactly compute the shearlet coefficients based on a multiresolution analysis, but also can provide nearly optimal approximation for a piecewise smooth function. In order to achieve more robustness and imperceptibility, watermark… CONTINUE READING
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