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

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.