Blind audio watermarking based on discrete wavelet and cosine transform

Many accurate methods for image watermarking have being proposed and implemented to secure digital data, images and videos however, not many algorithms are proposed for audio watermarking. This is also because human audio system has wider dynamic range in comparison with human vision system. In this paper audio watermarking scheme is proposed using Arnold transformation with discrete wavelet and cosine transform. In audio watermarking, embedding is done by going sufficient level of approximation of audio signal using DWT and packetizing approximate function, then taking DCT where scrambled watermark image is embedded. Finally, all of audio segments are regrouped. The scrambling of watermark is done by Arnold transform. Here watermark image is binary. Experimental results show the efficiency of the proposed scheme since the embedded signal is perpetually indistinguishable from the equivalent original signal audio signal. With different degrading schemes applied on embedded signal the recovered watermark was obtained with slightly degradation in the quality.