- The Singular Value Decomposition Of Digital Watermarking Algorithm Based On Wavelet Transform

The rapid growth of the internet access to multimedia data tremendously . This fact presents a challenge to copyright protection of multimedia data . Digital watermarking , which is inserting copyright information into the data , has been proposed to solve the problem. There are two important issues that the watermarking algorithms need to address .First , watermarking schemes are required to keep the quality of the original data and imperceptibility .Second , good watermarking .schemes should satisfy the requirement of the robustness and resist distortions due to common image manipulations (such as filtering , cutting ,etc.)The main property of singular value decomposition (SVD) in our algorithms is the singular values (SVs) of an image have very good stability , that is , when a small perturbation is added to an image , its SVs do not change significantly .The main property of discrete wavelet transform (DWT)is imperceptibility and stability. In this paper, a novel watermarking algorithm based on SVD and DWT is proposed .After discrete wavelet transforming separately the cover image and the watermarking into four bands , we apply the SVD to each bands .The singular values(SVs) of the watermarking each band need to be embedded into the bigger SVs of the original image corresponding band so that the watermarking is the more transparency . The experimental results show that the hidden watermarking can withstand a wide range of attacks , and have great robustness and transparency.