A New Algorithm of Self-adaptability for Digital Audio Watermark with Energy Quantization

A new algorithm of self-adaptability for digital audio watermark with energy quantization is put forward in this paper. First, the visually recognizable binary watermark image should be converted into the one-dimensional sequence in the algorithm. The watermark sequence is permuted and encrypted through Amold transformation, then carve up the original digital audio signal to audio data segment and do the DCT and DWT to every audio data segment. Finally choose the quantization step by self-adaptability according to the masking properties of human auditory system and the watermark signal is embedded to low- frequency components of audio data signal segment. The experimental results of simulation show that the algorithm not only has great imperceptibility but also has great robustness to the co-attack of superposition noise, low pass filter and resample.