应用科学学报 ›› 2016, Vol. 34 ›› Issue (5): 633-650.doi: 10.3969/j.issn.0255-8297.2016.05.016

• 多媒体信息安全专刊 • 上一篇    

非因果预测和直方图平移下的可逆音频数字水印

项世军, 陈肇龙   

  1. 暨南大学信息科学技术学院, 广州 510632
  • 收稿日期:2016-08-04 修回日期:2016-08-17 出版日期:2016-09-30 发布日期:2016-09-30
  • 作者简介:项世军,教授,研究方向:信息隐藏和加密域信号处理,E-mail:Shijun_Xiang@qq.com
  • 基金资助:

    国家自然科学基金(No.61272414)资助

Reversible Audio Watermarking Based on Non-causal Prediction and Histogram Shifting

XIANG Shi-jun, CHEN Zhao-long   

  1. School of Information Science and Technology, University of Jinan, Guangzhou 510632, China
  • Received:2016-08-04 Revised:2016-08-17 Online:2016-09-30 Published:2016-09-30

摘要:

预测算法在可逆水印隐藏中扮演重要角色。预测算法越好,得到的预测值就越精确,嵌入水印后的失真度就越低。为此,提出一种新的非因果音频预测算法。在预测之前,利用每相邻3个样本点之间的相关性计算出一个预测系数,再将这些预测系数进行统计平均得到最佳预测系数。根据每相邻3个样本点间的数值关系计算预测值和非整数预测误差。最后利用直方图平移技术嵌入水印信息。该算法利用了相邻3个样本点间的相关性,而且集合了非因果预测的优异性和音频信号本身的固有特性。测试了6个标准的音频文件,对比了已有同类可逆音频水印算法,该算法在预测性能和嵌入失真方面都更有优势。

关键词: 直方图平移, 可逆数字水印, 非因果预测

Abstract:

Prediction algorithms play an important role in reversible audio watermarking. This paper presents a novel prediction algorithm for reversible watermarking. A prediction parameter is obtained from relations among each group of three consecutive samples, and an optimum prediction coefficient is then calculated by averaging all these parameters in a clip. The prediction value of the current sample and the corresponding prediction error are computed. Since the prediction error is non-integer, we use an improved histogram shifting method to embed the additional data. The proposed scheme can better explore audio samples' correlations by using non-causal prediction and computing prediction parameter in a statistical way. We demonstrate validity of the scheme with a set of six standard audio files. Compared with three state-of-art schemes, the proposed scheme has lower embedding distortion with the same payload.

Key words: reversible watermarking, non-causal prediction, histogram shifting

中图分类号: