摘要
在音频水印领域,嵌入大量水印而不影响宿主音频的听觉质量,同时具有良好的鲁棒性,仍然是一项具有挑战的工作。针对这一问题,本文提出了一种大容量,透明,鲁棒的音频水印算法。首先对音频应用2级离散小波变换(DWT),并选取低频分量作奇异值分解(SVD),然后将水印嵌入在奇异值矩阵的非对角线元素中,可同时提高算法的透明性和嵌入容量。另外,利用汉明码编码提升水印的鲁棒性和安全性。仿真实验结果表明,所提算法在平均信噪比37.75 dB的情况下,可以达到5512 bps的嵌入容量,对噪声添加、滤波、剪切、压缩等各种信号处理攻击具有良好的鲁棒性。
In the field of audio watermarking,reliably embedding the large number of watermarking bits per second in an audio signal without affecting the audible quality of the host audio with good robustness against signal processing attacks is still a challenging work.To solve this problem,a high payload,transparent and robust audio watermarking algorithm based on discrete wavelet transform(DWT)and singular value decomposition(SVD)is proposed in this paper.First of all,the host audio signal is transformed to DWT and the low-frequency components are selected.The low-frequency components of the host audio have been selectively embedded with watermark image making the watermarked signal highly imperceptibility and robustness.Subsequently,the low-frequency components is performed SVD and watermark image being embedded into the non-diagonal elements of the singular value matrix after SVD,which can simultaneously improve the transparency and capacity of the proposed algorithm.In addition,the hamming code encoding is used to improve the robustness and security of the watermark.Experimental results show that the proposed audio watermarking algorithm can achieve 5512 bps capacity at an average signal-to-noise ratio(SNR)of 37.75 dB with good robustness to various signal processing attacks such as noise addition,filtering,cropping and compression.The comparison of the proposed algorithm with the other DWT-SVD techniques also shows that the proposed algorithm is able to achieve high payload with good robustness under perceptual constraints.
作者
杨冬梅
唐晨
申玉馨
雷振坤
YANG Dong-mei;TANG Chen;SHEN Yu-xin;LEI Zhen-kun(School of Electrical and Information Engineering,Tianjin University,Tianjin 300072,China;State Key Laboratoryof Structural Analysis for Industrial Equipment,Dalian University of Technology,Dalian 116024,China)
出处
《光电子．激光》
EI
CAS
CSCD
北大核心
2019年第12期1348-1354,共7页
Journal of Optoelectronics·Laser
基金
国家自然科学基金(11772081)资助项目.
关键词
音频水印
离散小波变换
奇异值分解
鲁棒性
大容量
audio watermarking
discrete wavelet transform
singular value decomposition
robustness
high data payload
