Analyzing the impact of N-Frame value on audio watermarking

Abstract

Progress is being made in digitizing data from text, images, sound, and video. However, audio producers must invest in protecting digital rights and documenting authentication. One method for safeguarding message confidentiality is through watermarking. In this study, we employ the Lifting Wavelet Transform (LTW) technique and the Compressive Sensing (CS) technique, specifically Orthogonal Matching Pursuit (OMP), to propose a compressed watermark embedding technique for audio data. The performance analysis of the proposed system is based on the impact of the N-Frame value on SNR, ODG, C, and BER values. The results of the experiments indicate that increasing the number of N-Frames affects the SNR and C values, with higher SNR values and lower C values corresponding to an increased number of N-Frames.