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计算机工程 ›› 2021, Vol. 47 ›› Issue (1): 123-128,138. doi: 10.19678/j.issn.1000-3428.0056619

• 网络空间安全 • 上一篇    下一篇

基于采样值排序的音频可逆隐写算法

余恒, 王让定, 严迪群, 张雪垣   

  1. 宁波大学 信息科学与工程学院, 浙江 宁波 315211
  • 收稿日期:2019-11-18 修回日期:2019-12-28 发布日期:2020-01-20
  • 作者简介:余恒(1995-),男,硕士研究生,主研方向为信息安全、音频信息隐藏技术;王让定,教授、博士;严迪群,副教授、博士;张雪垣,硕士研究生。
  • 基金资助:
    国家自然科学基金(U1736215,61672302,61901237);浙江省自然科学基金(LY17F020010,LY20F020010);浙江省移动网应用技术重点实验室开放基金(F2018001)。

Reversible Audio Steganography Algorithm Based on Sample Value Ordering

YU Heng, WANG Rangding, YAN Diqun, ZHANG Xueyuan   

  1. Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang 315211, China
  • Received:2019-11-18 Revised:2019-12-28 Published:2020-01-20

摘要: 针对已有音频可逆隐写算法失真较大的问题,提出一种基于采样值排序的改进音频可逆信息隐写算法。将音频采样值序列划分为固定大小的采样块,对采样块内部的采样值进行升序排列。计算每个采样块的复杂度,根据复杂度确定采样块是否能够用于嵌密。对于能够嵌密的块,通过其复杂度等级确定最优预测采样值,将该采样值与其他采样值相减得到预测误差,依据预测误差值的大小决定执行嵌密操作或移位操作。在EBU-SQAM标准测试集上的实验结果表明,在相同嵌入容量的条件下,相较于DE算法和PEE算法,该算法的SNR值较高,具有高保真的特性。

关键词: 采样值排序, 隐写算法, 音频, 复杂度等级, 嵌密操作

Abstract: To address the large distortion suffered by the existing reversible audio steganography algorithms,this paper proposes an improved reversible audio steganography algorithm based on Sample Value Ordering(SVO).In the algorithm,the complexity of each sample block is calculated,which determines whether the sample block can be used for embedding.As for the to-be-embedded blocks,the optimal predicted sample value is determined by its complexity level,and the prediction error is obtained from the optimal predicted sample value minus other sample values.Based on the prediction error value,perform the embedding or shift operation.The experimental results on the EBU-SQAM standard test set show that the Signal-to-Noise Ratio(SNR) value of the proposed algorithm is significantly improved compared with DE,PEE and other algorithms under the same embedding capacity.It also has higher fidelity.

Key words: Sample Value Ordering(SVO), steganography algorithm, audio, complexity level, embedding operation

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