局部统计特征的抗同步攻击音频水印

doi:10.3969/j.issn.0255-8297.2014.04.015

Journal of Applied Sciences ›› 2014, Vol. 32 ›› Issue (4): 434-440.doi: 10.3969/j.issn.0255-8297.2014.04.015

• Signal and Information Processing • Previous Articles

Audio Watermarking against Synchronization Attacks Using Statistical Features

XIANG Shi-jun, HUO Yong-jin, LIU Shang-yi, LUO Xin-rong

School of Information Science and Technology, Jinan University, Guangzhou 510632, China

Received:2012-06-27 Revised:2014-01-23 Online:2014-07-31 Published:2014-01-23

Abstract

Abstract: This paper proposes a robust audio watermarking approach against random cropping and timescale modifications (TSM) by using two local statistical features. In the embedding, audio signals are divided into segments, and histogram and the absolute mean value of each segment computed. The histogram shapes of the segments are modified to insert messages by referring to the corresponding mean values. Theoretical analysis and experimental results show that the proposed audio watermarking algorithm can provide better performance for random cropping while keeping satisfactory robustness to the TSM attacks in comparison with earlier methods.

Key words: audio watermarking, robust segmentation, random cropping, local statistical feature

CLC Number:

TN911.73

XIANG Shi-jun, HUO Yong-jin, LIU Shang-yi, LUO Xin-rong. Audio Watermarking against Synchronization Attacks Using Statistical Features[J]. Journal of Applied Sciences, 2014, 32(4): 434-440.

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Audio Watermarking against Synchronization Attacks Using Statistical Features

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