A blind audio watermarking method based on lifting wavelet transform and QR decomposition

Abstract

This paper presents a blind audio watermarking method based on lifting wavelet transform (LWT) and QR decomposition (QRD) for audio copyright protection. In our proposed method, initially the original audio is segmented into non-overlapping frames. Watermark information is embedded into the largest element of the upper triangular matrix obtained from the low frequency LWT coefficients of each frame. A blind watermark detection technique is introduced to identify the embedded watermark under various attacks. Simulation results indicate that the proposed watermarking method is highly robust against different attacks. In addition, it has high data payload and provides good imperceptible watermarked sounds. Moreover, it shows superior performance than the state-of-theart watermarking methods reported recently.