DWT Based Audio Watermarking Schemes : A Comparative Study

Abstract

The main problem encountered during multimedia transmission is its protection against illegal distribution and copying. One of the possible solutions for this is digital watermarking. Digital audio watermarking is the technique of embedding watermark content to the audio signal to protect the owner copyrights. In this paper, we used three wavelet transforms i.e. Discrete Wavelet Transform (DWT), Double Density DWT (DDDWT) and Dual Tree DWT (DTDWT) for audio watermarking and the performance analysis of each transform is presented. The key idea of the basic algorithm is to segment the audio signal into two parts, one is for synchronization code insertion and other one is for watermark embedding. Initially, binary watermark image is scrambled using chaotic technique to provide secrecy. By using QuantizationIndex Modulation (QIM), this method works as a blind technique. The comparative analysis of the three methods is made by conducting robustness and imperceptibility tests are conducted on five benchmark audio signals.