Open AccessIMAGE HIDING ON HIGH FREQUENCY SPEECH COMPONENTS USING WAVELET PACKET TRANSFORM
Author(s) -
Mohammed N. Al-Turfi
Publication year - 2018
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.v44i1.104
Subject(s) - computer science , signal (programming language) , speech recognition , wavelet packet decomposition , wavelet , image (mathematics) , wavelet transform , artificial intelligence , programming language
This paper propose a method for security threw hiding the image inside the speech signal by replacing the high frequencycomponents of the speech signal with the data of the image where the high frequency speech components are separated and analyzed usingthe Wavelet Packet Transform (WPT) where the new signal will be remixed to create a new speech signal with an embedded image. The algorithm is implemented on MATLAB 15 and is designed to achieve best image hiding where the reconstruction rate was more than 94% while trying to maintain the same size of the speech signal to overcome the need for a powerful channel to handle the task. Best results were achieved with higher speech resolution (higher number of bits per sample) and longer periods (higher number of samples in the media file).