A Blind Watermarking Algorithm Based on Lifting Wavelet Transform and Scrambling Technology

This paper presents a new blind watermarking algorithm based on lifting wavelet transform and scrambling technology. In this algorithm the watermark image is scrambled by new Arnold transform, and the original image is decomposed three levels by lifting wavelet transform. Three high frequency coefficients of corresponding locations in the same level are sorted, and come into being several sub-sections. The defined eigenvalue is in the different sub-sections, as the information embedded is different. The watermark can be blind extracted according to the locations of eigenvalues. And this method is proved to have a good invisible character, a strong robustness and recognizable character under assaults of cut, noise, low-pass filter, and compression by simulation experiments.