An Improved Wavelet-based Watermarking Method Using the Mathematical Morphology

In this paper, we propose an improved waveletbased watermarking method using the mathematical morphology. The wavelet coefficients of host image are firstly selected as the significant coefficients by a statistical predetermined threshold. The mathematical operations are then performed to tame some small perturbations on the selected coefficients caused by the manipulations or attacks. Moreover, the pixel-wise masking model which exploits the characteristics of Human Visual System is employed for improving watermark invisibility and robustness. The experimental results verify that our method is more robust and effective than the existing method.