Gelar Budiman, A. B. Suksmono, D. Danudirdjo, Syarahbil Pawellang
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引用次数: 7
摘要
音频水印是一种向音频文件中插入信息的技术,这样人们就不会意识到这些附加信息的存在。本文提出了一种结合平稳小波变换(SWT)、离散正弦变换(DST)、QR分解和笛卡尔极变换(CPT)技术的量化指标调制(QIM)音频水印同步方法。首先,在读取主机音频后,我们使用基于ss的同步插入报头。然后,对主机音频进行SWT分解,选择平均功率大于阈值的子带进行下一步处理。然后,在时域选择子带,通过DST变换到频域。然后,对频域信号进行QR分解。在R矩阵中,其在位置(1,1)和(2.2)处的系数用CPT变换。最后,QIM将水印位插入到CPT系数中。该水印方案在Stirmark benchmark for Audio (SMBA)中平均信噪比为32.718 dB,成功率为82.61%,是针对$\mathbf{BER} < 10\%$的音频水印的标准攻击。
QIM-Based Audio Watermarking with Combined Techniques of SWT-DST-QR-CPT Using SS-Based Synchronization
Audio watermarking is a technique of inserting information into an audio file so humans are not aware of the existence of such additional information. In this paper, we propose synchronization of audio watermarking with Quantization Index Modulation (QIM) with combined techniques of Stationary Wavelet Transform (SWT), Discrete Sine Transform (DST), QR Decomposition, and Cartesian Polar Transform (CPT). Firstly, after reading host audio, we insert header using SS-based synchronization. Next, host audio is decomposed by SWT, then several subbands with average power above than threshold are selected for next process. Next, the selected subbands in time domain are transformed by DST into frequency domain. Then, the frequency domain signal is decomposed by QR decomposition. In R matrix, its coefficients at position (1,1) and (2.2) are transformed using CPT. Finally, QIM inserts watermark bits into CPT coefficients. Watermarking scheme has an average SNR value of 32.718 dB and 82.61% success rate in Stirmark Benchmarck for Audio (SMBA) as standard attack for audio watermarking with $\mathbf{BER} < 10\%$.