Comparison of Digital Audio Watermarking

This paper introduces an algorithm of digital watermarking based on Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT). According to the Characters of hum Coefficients are divided into an arbitrary number of segments and the energy of each segment is calculated. Watermarks are then embedded into the selected peaks of the highest energy segment. Watermarks is extracte performing the inverse operation of watermark embedding process. Our proposed method achieves SNR (signal noise ratio) values ranging from 13 dB to 24 dB. The simulation results show that this algorithm is invisible and has good robustness for some common audio processing operatio