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Based on Pseudo-Zernike moments and synchronization code, we propose a new digital audio watermarking algorithm with good auditory quality and reasonable resistance toward de-synchronization attacks in this paper. Simulation results show that the proposed watermarking scheme is not only inaudible and robust against common signals processing such as MP3 compression, noise addition, re-sampling, and re-quantization etc, but also robust against the de-synchronization attacks such as random cropping, amplitude variation, pitch shifting, etc.

The development of a desynchronization invariant audio watermarking scheme without degrading acoustical quality is a challenging work. This paper proposes a robust audio watermarking scheme in Empirical Mode Decomposition (EMD) domain, in which the higher-order statistics and synchronization code are utilized. Firstly, the wavelet de-noising is performed on the original host audio, the de-noised digital audio is segmented, and then each segment is cut into two parts. Secondly, with the spatial watermarking technique, synchronization code is embedded into the statistics average value of audio samples in the first part. Thirdly, for the second part, EMD is performed, and a series of Intrinsic Mode Functions (IMFs) and a residual are given, and thenthe higher-order statistics of residual are obtained by using the Hausdorff distance. Finally, the digital watermark is embedded into the residual in EMD domain by using the higher-order statistics. Simulation results show that the proposed watermarking scheme is not only inaudible and robust against common signal processing operations such as MP3 compression, noise addition,resampling, and re-quantization etc, but also robust against the desynchronization attacks such as random cropping, amplitude variation, pitch shifting, and jittering etc.

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Abstract-Normalized correlation algorithms have been used in digital watermarking evaluation system at home and abroad which still exists some shortcomings. In this paper, several common image similarity algorithms in image retrieval technology are selected and applied to watermarking technology. This paper chooses an adaptive embedding and extraction algorithm based on discrete cosine transform (DCT) and uses some different methods to calculate the similarity between the extracted watermark images and the original watermark image. Before embedding, the watermark image has been scrambled. The entire process of image watermarking system is conducted by Matlab, which demonstrates that applying the similarity calculating methods used in image retrieval into digital watermarking technology can improve the accuracy when evaluate the robustness of a watermark system.