This paper proposes a wavelet analysis method of non-uniformly parallel offset. Compared with traditional Fourier method, the method is characterized by higher accuracy of non-uniform estimation, less sampling points of the testing signal, and higher precision of error calibration. The results of simulation show that, for an 8-bit quantizer, the residual timing error is reduced to about 0.03 percent of the sampling period.

A multiresolution watermarking method with grey-level watermarking is presented. Both the watermarking and the original image are decomposed into three-level multiresolution structures using different mechanism. The decomposed watermarking information is further coded by error correction coding. Each level of watermark information is embedded into the corresponding level of the transformed image. Experimental results show that the proposed algorithm is robust against common image manipulations.

A method of embedding a digital watermark image in video is proposed in this paper. By two- dimensional and three-dimensional multiresolution signal decomposing, the decomposed watermark images with different resolution are embedded in the corresponding resolution of the decomposed video. To enhance the robustness of watermarking, the watermark information is coded by error correction coding of Hamming code in our algorithm. Experimental results show that the proposed technique is robust enough against the attacks of frame dropping, averaging and lossy compression.

A video watermarking with robustness against frame's geometrical distortions (rotation, aspect ratio, scaling, translation shearing, and bending) is proposed. The watermark information is embedded into pixels along the temporal axis within a Watermark Minimum Segment (WMS). Since the geometrical distortions operations for every frame along the time xis in a video sequence are the same at a very short interval, the watermark information can be detected from watermarked frames in each WMS subjected to the distortions. Furthermore, adaptive embedding method is proposed for gaining a good quality of the watermarked video. Experimental results show that the proposed technique is robust against common attacks such as rotation, aspect ratio, scaling, translation shearing, and bending of frames, MPEG-2 lossy compression, and color-space conversion.