On Image Analysis by the Methods of Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariant Image Recognition by Zernike Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Accuracy of Zernike Moments for Image Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Pattern Recognition by Moments
Journal of the ACM (JACM)
Enhancing Watermark Robustness through Mixture of Watermarked Digital Objects
ITCC '02 Proceedings of the International Conference on Information Technology: Coding and Computing
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
Invariant image watermark using Zernike moments
IEEE Transactions on Circuits and Systems for Video Technology
A robust watermarking technique for copyright protection using discrete wavelet transform
WSEAS Transactions on Computers
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Digital watermarking technique mainly applied protection in intellectual property copyrights. It is to join the data of the one intellectual property rights into the digital media of the different pattern by some procedures of processing. This includes text file, the static state image, the dynamic state image, voice signal, and so on. This paper proposes a robust watermark system that utilizes good geometry invariant characteristic of Zernike moment and Comparison of the average energy of wavelet packet. The experiments prove that the method is robust against scaled, rotated, blurred, cut and jpeg attacks. Particularly, the use of the Zernike moment improves the robustness against geometric attacks greatly.