Robust AAC Audio Watermarking Algorithm Based on Particle Swarm Optimization Algorithm

Abstract

A robust ACC audio watermarking algorithm based on the particle swarm optimization algorithm is proposed in this paper. The Pearson correlation coefficients of the QMDCT coefficients of the left and right channels of the audio are calculated, and the carrier elements of the left and right channels are decomposed by QR. For the decomposed matrix, different operations are performed on the non-zero elements in the upper matrix according to the different watermark information to achieve embedding. In order to improve the overall performance of the watermarking algorithm, the particle swarm optimization algorithm is used to divide the carrier elements, and the audibility and robustness of the watermarked audio are fully considered. The experimental results show that this method has a significant improvement in imperceptibility and provides good robustness against common audio signal processing such as added noise, filtering, and recompression.