Evaluation of Wavelet Transform Audio Hiding

الملخص

Audio hiding is a method for embedding information into an audio signal. It seeks to do so in a robust fashion, while not perceivably degrading the host signal (cover audio). Hiding data in audio signals presents a variety of challenges; due in part to the wider dynamic and differential range of the Human Auditory System (HAS) as compared to other senses. Transforms are usually used for robust audio hiding (audio watermarking). But, the audio hiding process is affected by the type of transform used. Therefore, this paper presents an evaluation of wavelet transform hiding in comparison with selected types of transforms: (walsh transform and cosine transform) hiding.

           In order to generate the audio stegocover, this paper concludes (wavelet, walsh, or cosine) transform of the audio cover, replacing some transformed cover coefficients with secret audio message coefficients, and inverse (wavelet, walsh, or cosine) transform for audio cover with replaced coefficients. While, the extracting method concludes (wavelet, walsh, or cosine) transform of the stegocover and extracting the secret audio message. The generated stegocovers and the extracted audio messages are used to create the proposed evaluation.