Digital Signal Processing
Genetic algorithm optimization of multiwavelet-based audio watermarking
AEE'10 Proceedings of the 9th WSEAS international conference on Applications of electrical engineering
Robust audio watermarking using multiwavelet transform and genetic algorithm
WSEAS TRANSACTIONS on SYSTEMS
A genetic algorithm optimization technique for multiwavelet-based digital audio watermarking
EURASIP Journal on Advances in Signal Processing - Special issue on time-frequency analysis and its applications to multimedia signals
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An audio watermarking scheme based on wavelet packet and psychoacoustic model is presented. Wavelet packet is a very good tool to analysis the audio signal which is non-stationary. The algorithm has better imperceptibility by using masking effect in human auditory system. The masking threshold can be computed in wavelet domain. Thus the computational complexity is reduced greatly, because it doesn't like MPEG algorithm which should perform FFT. The watermark can be blind extracted by using linear predictive coding. Experimental results show that the watermark is imperceptible and the algorithm is robust to many attacks, such as mp3 compression, noise addition, requantization, low pass filtering, D/A -A/D and so on.