Open AccessHiding Multi Short Audio Signals in Color Image by using Fast Fourier Transform
Author(s) -
Enas Muzaffer Jamel
Publication year - 2021
Publication title -
al-nahrain journal of science
Language(s) - English
Resource type - Journals
eISSN - 2663-5461
pISSN - 2663-5453
DOI - 10.22401/anjs.24.1.09
Subject(s) - computer science , cover (algebra) , audio signal , steganography , image (mathematics) , metric (unit) , digital audio , signal (programming language) , anti aliasing , artificial intelligence , image quality , information hiding , computer vision , speech recognition , speech coding , engineering , mechanical engineering , operations management , programming language
Many purposes require communicating audio files between the users using different applications of social media. The security level of these applications is limited; at the same time many audio files are secured and must be accessed by authorized persons only, while, most present works attempt to hide single audio file in certain cover media. In this paper, a new approach of hiding three audio signals with unequal sizes in single color digital image has been proposed using the frequencies transform of this image. In the proposed approach, the Fast Fourier Transform was adopted where each audio signal is embedded in specific region with high frequencies in the frequency spectrum of the cover image to save much more details of the cover image and avoid any doubts that there is any secret information are hidden inside it. The quality of the stego-image and the extracted audio files are evaluated with the standard evaluation metric. The simulation results shown significant results of these metrics and achieve good imperceptibility and high security of the stego-image. The SNR and SPCC values are considered acceptance that means significant in terms quality and similarity of the reconstructed signal.