Norm ratio-based audio watermarking scheme in DWT domain

被引:0
作者
Jin-feng Li
Hong-Xia Wang
Tao Wu
Xing-ming Sun
Qing Qian
机构
[1] Southwest Jiaotong University,School of Information Science and Technology
[2] Beijing University of Posts and Telecommunications,School of Information Science and Communication Engineering
[3] Nanjing University of Information Science and Technology,School of Computer and Software
来源
Multimedia Tools and Applications | 2018年 / 77卷
关键词
Audio watermarking; Norm ratio; Optimized scaling; Discrete wavelet transform;
D O I
暂无
中图分类号
学科分类号
摘要
In order to reach a balance between robustness, imperceptibility, and data payload, a novel blind audio watermarking scheme is proposed using the norm ratio of approximate coefficients in discrete wavelet domain (DWT). A chaotic sequence generated by Tent map is used to encrypt the watermark image and enhance the security of watermarking system. Firstly the original audio signal is segmented into non-overlapping frames and DWT is applied to each frame. Then, the approximate components are divided into two parts, and the norm ratio is calculated and modulated to embed the watermarks. Finally, the approximate components are scaled by optimizing the quality of the watermarked audio. Experimental results indicate that the proposed watermarking scheme is robust against different common attacks, such as noise addition, resampling, re-quantization, MP3 compression and amplitude scaling. The comparison analysis shows that the proposed scheme has high data payload and provides superior performance compared to the state-of-the-art watermarking schemes.
引用
收藏
页码:14481 / 14497
页数:16
相关论文
共 39 条
[1]  
Ali AH(2010)Digital audio watermarking based on the discrete wavelets transform and singular value decomposition Eur J Sci Res 39 6-21
[2]  
Ahmad M(2014)A robust image watermarking technique using SVD and differential evolution in DCT domain Optik-International Journal for Light and Electron Optics 125 428-434
[3]  
Ali M(2010)An adaptive audio watermarking based on the singular value decomposition in the wavelet domain Digital Signal Process 20 1547-1558
[4]  
Ahn CW(2013)Adaptive audio watermarking via the optimization point of view on the wavelet based entropy Digital Signal Process 23 971-980
[5]  
Pant M(2015)Blind SVD-based audio watermarking using entropy and log-polar transformation Journal of Information Security and Applications 20 74-83
[6]  
Bhat VK(2009)Audio watermarking scheme based on embedding strategy in low frequency components with a binary image Digital Signal Process 19 265-277
[7]  
Sengupta I(2009)Chaos-based discrete fractional sine transform domain audio watermarking scheme Comput Electr Eng 35 506-516
[8]  
Das A(2011)Statistical characteristic-based robust audio watermarking for resolving playback speed modification Digital Signal Processing 21 110-117
[9]  
Chen ST(2013)Efficient video watermarking based on singular value decomposition in the discrete wavelet transform domain AEU-International Journal of Electronics and Communications 67 189-196
[10]  
Huang HN(2014)Variable-dimensional vector modulation for perceptual-based DWT blind audio watermarking with adjustable payload capacity Digital Signal Process 31 115-123