Entropy based audio watermarking in image using wavelet transform

In this paper, we present a novel algorithm for robust audio watermarking in image using wavelet transform based on an image entropy. The motivation of choosing image as a cover is driven by the fact that human visual system is less sensitive than human auditory system thus an image provides better masking effect. The algorithm is based on decomposition of images using Daubechies wavelet basis. The technique proposed in this paper resolves the problem of severe distortion caused by watermarking audio in an image by developing a scaling function that achieves maximum robustness and transparency prior to its embedding. The property of texture is used as a criterion to identify the target area for embedding the watermark. The security of the algorithm is enhanced by performing a random permutation of the watermark. The hidden data can be recovered reliably under certain attacks such as global tampering, localized tampering and contrast enhancement.