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SSVS-SSVD Based Desynchronization Attacks Resilient Watermarking Method for Stereo Signals

journal contribution
posted on 2023-01-30, 03:07 authored by Juan Zhao, T Zong, Yong XiangYong Xiang, Longxiang GaoLongxiang Gao, G Hua, Keshav SoodKeshav Sood, Y Zhang
Most of the audio signals in real-world applications are stereo signals. However, the previous desynchronization attacks resilient watermarking methods cannot preserve perceptual quality or achieve robustness when constrained by high embedding rates and stereo host. In this paper, based on two novel features segmental singular values summation (SSVS) and segmental singular values difference (SSVD) that are generated using discrete cosine transform (DCT) and singular value decomposition (SVD), we present a robust watermarking method for stereo signals that not only is robust to desynchronization attacks and common signal processing attacks but also has a larger embedding rate compared with the previous methods. In the proposed method, we first apply DCT and SVD on each segment of the host signal to extract the SSVS feature and the SSVD feature. Then we generate the adaptive embedding parameters and embed watermark bits via optimized embedding strategies based on these features. Due to the use of the adaptive embedding parameters and the optimized embedding strategies, the proposed method significantly increases the embedding rate without compromising the robustness and perceptual quality. Analysis results show our proposed method outperforms the state-of-the-art methods by a large margin, where the perceptual quality improvement is over 14%, and the robustness against desynchronization attacks is improved by more than 49% when the embedding rate is 70 bps.

History

Journal

IEEE/ACM Transactions on Audio Speech and Language Processing

Volume

31

Pagination

448-461

ISSN

2329-9290

eISSN

2329-9304

Language

English

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC