Novel Robust Audio Watermarking Scheme against Synchronization Attacks

Abstract

In this paper, a new robust watermarking scheme is described. In this scheme, two complementary watermarking algorithms are used to resist different attacks. First, the largest singular value of every frame is calculated after discrete wavelet transform (DWT) and segment. After single value decomposition (SVD), the watermark sequences are embedded several times, for redundancy, by adjusting the largest singular values of the frames according to the pre-set rule. This watermarking algorithm works well in the case of common signal processing. The second watermarking algorithm based on the histogram is utilized to resist synchronization attacks. In the process of image extraction, two types of watermarking images are extracted using two different methods. Then, an appropriate judgment is enforced to determine the final watermark image. In this way, though each of the two watermarking algorithms is not robust enough to withstand all attacks, they have complementary advantages. In other words, by embedding two types of watermarks, the whole watermarking scheme displays great robustness when facing both common signal processing and synchronization attacks.