Multiple Watermarking Algorithm for Color Images Based on Multi-Channel
To address the problem of determining the optimal embedding area in multiple watermarking technologies and to achieve a trade-off between multiple watermarks,a multi-channel embedding-based color image multiple watermarking algorithm is proposed.Different watermark images are embedded in the R,G,and B channels of a color image to embed additional watermark information.The directional features in each host image channel are extracted using the Lifting Wavelet Transform(LWT)and Non-Subsampled Shearlet Transform(NSST)to determine the watermark embedding position for improving robustness against conventional and geometric attacks.Watermark extraction is guaranteed by embedding the encrypted effective watermark information into a singular value matrix with good stability.The experimental results demonstrate that the Peak Signal-to-Noise Ratio(PSNR)of the image after embedding the watermark is above 43 dB.Furthermore,the algorithm has good invisibility,high-intensity rotation,filtering,and shearing.Additionally,other attacks are performed on the image after the watermark is embedded for watermark extraction.The Normalization Coefficient(NC)value is above 0.95,and the NC value corresponding to the filter attack exceeds 0.99.Watermark information extraction is complete and clear,showing strong robustness,and three watermark images can be embedded with a higher embedding capacity.In summary,the invisibility,robustness,and embedding capacity of the proposed algorithm are significantly improved in contrast to those of multiple existing watermarking algorithms.
万方数据
维普
