A digital audio watermarking algorithm based on independent component analysis

Abstract

This paper proposes a digital audio watermarking algorithm based on discrete wavelet transform (DWT), singular value decomposition (SVD) and independent component analysis (ICA). Firstly, it preprocesses original audio to select the appropriate fragments to embed watermark when embedding a watermark. It uses three level wavelet transform to the original audio and singular value decomposition to the approximate components. Then it uses a random method to complete mixing to improve watermark's imperceptibility and robustness. When extracting a watermark, it uses wavelet transform and singular value decomposition to the watermarked audio signal. Then it uses fixed-point algorithm (Fast-ICA) method which based on negative entropy maximization to achieve blind watermark detection. The simulation results show that the algorithm has strong robustness and imperceptibility.