用于篡改检测及认证的脆弱音频水印算法

该文提出一种新的用于确保音频作品可信性的脆弱水印算法.心理声学模型控制音频信号的小波包分解和小波包域内水印的嵌入量,增强了水印嵌入的透明度和灵活性.与现有算法不同,该算法在单一系数上嵌入多位水印,可以更加准确地反映篡改的程度.通过引入篡改检测函数,可同时进行完整性认证和在时/频域定位篡改并给出篡改程度的度量.仿真实验结果显示该算法能有效地检测和定位篡改,可用于衡量法庭证据及新闻广播等的可信度.

Fragile Audio Watermarking Algorithm for Telltale Tamper Proofing and Authentication

A novel watermarking scheme to ensure the credibility of audio is proposed in this paper. Psychoacoustic model controls the wavelet packet decomposition as well as the watermark insertion in the wavelet packet domain, which enhances both the transparency and the flexibility of the algorithm. Unlike previously proposed algorithms, the presented method embeds several bits of watermark instead of just one in a single coefficient. By introducing the detecting function, the new scheme can not only authenticate the integrity of the audio signal but also locate the tampered region and decide to what extent the audio being tampered. Experimental results show that the proposed scheme has the desired property and can be used for applications including authentication for forensic identification and news broadcasting.