A new audio zero-watermark algorithm for copyright protection based on audio segmentation and wavelet coefficients mapping

摘要

A widely studied scheme for digital audio copyright protection is based on digital watermarking technology. In this paper, to make audio watermarking both avoid the contradictions strong robustness and transparency, and resist the attack of random large-area cropping, a novel audio zero-watermarking scheme is proposed. An audio segmentation algorithm based on Bayesian Information Criterion (BIC) is introduced to divide audio signal into many different size segments. After that, each segment is extracted Double-direction Mapping Matrix (DMM) and implemented watermark embedding or detection. In the procedure of extracting DMM, we employ a novel method to map the approximate coefficients of wavelet transform of an audio segment into a binary matrix, which is the key process of zero-watermarking algorithm proposed in the paper. The experimental results demonstrate that the proposed zero-watermark scheme has more excellent performance in terms of security, robustness, anti-cropping compared to the earlier audio watermarking schemes.