Blind image watermarking algorithm based on the statistics of wavelet coefficients

In this paper, the authors propose a new blind statistical watermarking method for digital images. The watermark is embedded using the statistics of the sub-band coefficients in the wavelet domain. The experimental results have shown that the proposed watermark is invisible to the human eyes and robust to various attacks, such as additive noise, multiplicative noise, salt & pepper noise, brightening, JPEG compression, blurring and histogram equalization. Results are compared with one of the existing algorithm to show the efficiency of the proposed scheme.