A novel scheme in audio watermarking using multi-objective genetic algorithm
Abdul Majid, Tahir Javed, Tae‐Sun Choi · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
In this paper, multi-objective genetic algorithm (MOGA) based novel watermarking scheme of audio signal is proposed. Using this MOGA scheme small size images are embedded efficiently as a digital watermark in the discrete wavelet domain of audio signal. The main advantage of proposed scheme is that it automatically selects the intensity of watermark for embedding in audio signal. As a result an optimal tradeoffs is obtained between two contradicting properties i.e. robustness and imperceptibility. The results obtained using the proposed MOGA technique show the embedded watermark is more robustness against common cropping and Gaussian noise attacks.