Abstract
Zero-watermark is the data information constructed by extracting a certain amount of eigenvalues from the original carrier image. In order to achieve effective copyright authentication, feature value and copyright information are calculated together to generate zero-watermarking. It is very important to extract the feature information of carrier image. Considering the efficiency and stability of the security and concealment, we redesign the zero-watermark extraction algorithm. The security and concealment of zero watermarking can be improved by using chaotic encryption for both image and water copyright image. Extracting feature information from low frequency region of wavelet can make zero-watermark have good stability. Singular value decomposition (SVD) is used to extract the maximum singular value of the sub block in the low frequency region of the wavelet, and the feature information is extracted to construct the zero watermarking. Experimental results show that the proposed algorithm is effective in extracting zero-watermark information.
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