基于奇异谱分析的音频信息隐藏算法
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  • 英文篇名:Audio information hiding algorithm based on singular spectrum analysis
  • 作者:陆全昊 ; 高勇
  • 英文作者:LU Quan-hao;GAO Yong;College of Electronics and Information Engineering,Sichuan University;
  • 关键词:音频信息隐藏 ; 奇异谱分析 ; 隐藏容量 ; 振动分量 ; 透明性
  • 英文关键词:audio information hiding;;singular spectrum analysis;;capacity;;oscillatory components;;imperceptibility
  • 中文刊名:SJSJ
  • 英文刊名:Computer Engineering and Design
  • 机构:四川大学电子信息学院;
  • 出版日期:2019-02-16
  • 出版单位:计算机工程与设计
  • 年:2019
  • 期:v.40;No.386
  • 基金:四川大学科研基金项目(2016H1123)
  • 语种:中文;
  • 页:SJSJ201902001
  • 页数:5
  • CN:02
  • ISSN:11-1775/TP
  • 分类号:8-12
摘要
针对现有的语音隐藏算法隐藏容量不高、鲁棒性较差、不能盲提取的问题,提出一种基于奇异谱分析的音频信息隐藏算法。运用奇异谱分析把原始音频载体分解成一系列的振动分量,通过修改特定振动分量的比例因子,实现秘密信息的嵌入。实验结果表明,所提算法具有良好的透明性、较大的隐藏容量,以及较强的鲁棒性,在提取水印信息时不需要原始音频载体,属于一种盲提取的信息隐藏算法。
        Aiming at the problem that the existing speech hiding algorithms are non-blind and poor in terms of robustness and capacity,an audio information hiding algorithm based on singular spectrum analysis was proposed.Singular spectrum analysis was used to decompose the host audio signals into a series of oscillatory components.The secret information was embedded through modifying the scale factor of certain oscillatory components.Simulation results show that the proposed scheme is good in imperceptibility,capacity and robustness and it is a blind information hiding algorithm since the original audio carrier is not needed when extracting secret information.
引文
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