Adaptive multilevel wavelet BCH code method in the audio watermarking system

Abstract

In this research, we proposed the audio watermarking system with adaptive multilevel DWT (discrete wavelet transform) — SVD (singular value decomposition) based on BCH (Bose-Chaudhuri-Hocquenghem) code. The host audio signal is embedded with a watermark signal in the form of an image signal accompanied by several attacks on the watermarking system. The results showed that the perceptual quality of audio in the form of ODG (Objective Difference Grade) and SNR (Signal to Noise Ratio) parameters for DWT (Discrete Wavelet Transormation) level 1 was higher than level 3. It can reach ODG level 1 = −0.68 and level 3 = −1.54 on LSC attack type; SNR level 1 = 31 dB and level 3 = 27 dB on LPF attack type. While for watermark image BER parameter, the result of the research shows that BER level 1 is worse than level 3, which can reach BER level 1 = 0.35 and level 3 = 0 on LPF attack. Higher decomposition level of wavelet makes the audio host file is less imperceptible to the attack, but higher robustness.