Open AccessEvaluation of Wavelet Transform Audio Hiding
Author(s) -
Ziyad Tariq Mustafa,
Alaa Al-Hammami,
Jasim M. Al-Samarai
Publication year - 2002
Publication title -
al-mağallaẗ al-ʿirāqiyyaẗ li-l-ḥāsibāt wa-al-maʿlūmāt/iraqi journal for computers and informatics
Language(s) - English
Resource type - Journals
eISSN - 2520-4912
pISSN - 2313-190X
DOI - 10.25195/ijci.v40i1.224
Subject(s) - computer science , wavelet transform , audio signal , information hiding , cover (algebra) , steganography , discrete cosine transform , speech recognition , wavelet , artificial intelligence , embedding , speech coding , engineering , image (mathematics) , mechanical engineering
Audio hiding is method for embedding information into an audio signal. It seeks to do so in a robust Fashion, while not perceivably degrading the host signal (coves audio). Hiding data in audio signals presents & varicty of challenges: due in part to the wider dynamic and differential range of the Human Auditory System (HAS) as compared to other senses. Transform are usually used for robust audio hiding (audio watcrmarking). But, the audio hiding process is affected by the type of transform used. Therefore, this paper presents an evaluation of wavelet transform hiding in comprison with sclccted types of transforms (Walsh transform and cosine transform) hiding. In order to generate the audio stegecover, the research concludce (Wavelet, Walsh, or Cosine) transform of the audio cover, replacing some transformed cover cocfficients with secret audio message coefficients, and inverse (Wavelet, Walsit, or Carsine Irannom for audio cover with replaced coefficients. While, the extracting method concludes (Wavelel, Walsh, or Cosine runsform of the stego ove18 and extracting the secrecy extracted Audio message.