A robust audio watermarking algorithm based on graph Fourier transform and singular value decomposition

Shuang Han; Meihong Huang

doi:10.1117/12.2682443

26 May 2023 A robust audio watermarking algorithm based on graph Fourier transform and singular value decomposition

Shuang Han, Meihong Huang

Proceedings Volume 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023); 127002E (2023) https://doi.org/10.1117/12.2682443
Event: International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 2023, Nanchang, China

Abstract

In order to solve the robustness problem of audio watermarking, this paper proposes a robust audio watermarking algorithm based on Graph Fourier transform and singular value decomposition. The Arnold transform is used to scramble and encrypt the image watermark, and then the watermark is embedded in the audio carrier by graph Fourier transform and singular value decomposition. Through experimental simulation, the audio carrier can still extract a complete watermark after various attacks such as noise, resampling, filtering, and compression, indicating that the algorithm has good robustness.

Citation Download Citation

Shuang Han and Meihong Huang "A robust audio watermarking algorithm based on graph Fourier transform and singular value decomposition", Proc. SPIE 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 127002E (26 May 2023); https://doi.org/10.1117/12.2682443

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