Visualization of Digital Audio Watermarking Based on the Dyadic Wavelet Transform

Abstract

We propose a blind digital audio watermarking method for embedding a binary logo in an audio signal. This method uses the two-dimensional Dyadic Wavelet Transform (DYWT). To apply the two-dimensional DYWT, we construct an image from an audio signal by dividing the original audio signal into several parts and arranging these parts in rows. Since the DYWT has a redundant representation, the amount of information that the watermark must carry is higher than in discrete-wavelet-transform -- based (DWT-based) methods, which are very popular. We describe our embedding and extracting procedures in detail and show experimental results demonstrating that our method gives watermarked signals that have better quality and that are robust against attacks such as clipping and some audio compressions.