Genetic algorithm audio watermarking using multiple image-based watermarks

This article presents the audio watermarking using multiple image-based watermarks based on genetic algorithms (GA) in the discrete wavelet transforms is proposed. Rather than using one watermark into a whole length of audio, we select appropriate watermarks in order to embed it into selected parts. It is robust against watermarking attacks, which are commonly employed in literature. In addition, the watermarked image quality is also considered. We employ GA for the optimal localization of watermark. The watermark detection process can be performed without using the original audio signal. The experimental results demonstrate that watermark is inaudible and robust to many digital signal processing, such as cropping, low pass filter, additive noise.