No abstract

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.

This paper presents a kind of blind watermarking algorithm based on lifting wavelet transform. According to the peculiarities of human visual system, the important coefficients first principle is adopted in the proposed algorithm. The algorithm selects high-frequency coefficients adaptively, and modifies these coefficients according to the watermark values to make the defined eigenvalue in different sub-zone. The watermark can be extracted blindly according to the locations of eigenvalues. And this method is proved to have a good sightlessness and have a good robustness and identifiable characteristic under many kinds of assaults by simulation experiments.