An Audio Watermark Embedding Algorithm Based on Mean-Quantization in Wavelet Domain

This paper presents an audio watermark embedding algorithm based on mean-quantization in DWT domain. It uses planar and binary image as watermark, and encrypts the binary image with chaos sequence. In this algorithm, the audio signal is decomposed using appropriate wavelet basis. Low-frequency coefficients are selected to embed watermark using mean-quantization method. The watermark can be extracted without the original audio signal. Experimental results show that compared with basic quantization watermark embedding algorithm, the algorithm presented in this paper is robust to many attacks, such as noise addition, MP3 compression, requantization, and the robust performance has been improved highly.