Transparent and robust audio data hiding in subband domain

Abstract

Data hiding embeds extra information into digital media for the purpose of authentication, annotation and copyright protection. Transparency and robustness are two contradictory requirements for any data hiding scheme. This paper studies audio data hiding using the spread spectrum (SS) technique in the subband domain. On the transparency part, we propose a novel method of tuning psycho-acoustic models employed in audio compression to control the audibility of the introduced distortion for data hiding. On robustness part, we have studied the feature selection and synchronization problem in order to maximize the survivability of the embedded data. Our study shows that mid-band coefficients are appropriate features for data embedding. We propose to track/recover synchronization of the audio signal before the detection, facilitating the extraction of the embedded data. Experiment results have shown that our data hiding scheme in the subband domain can survive a wide range of attacks while providing transparent audio quality and abundant embedding capacity (>20 bps).