An algorithm for intelligent audio watermaking using genetic algorithm

In this paper, we present an innovative watermarking scheme based on genetic algorithms (GA) in the discrete wavelet transforms, we search for the optimal intensity of watermark by using the adaptive tabu search (ATS) is proposed. It is robust against watermarking attacks, which are commonly employed in literature. In addition, the watermarked image quality is also considered. We employ GA and ATS for the optimal localization and intensity of watermark. The watermark detection process can be performed without using the original audio signal. The experimental results are presented to demonstrate that watermark is inaudible and robust to many digital signal processing, such as cropping, low pass filter, additive noise.