基于cpt的子带数据隐藏的组合变换与分解方法

Gelar Budiman, A. B. Suksmono, D. Danudirdjo
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引用次数: 3

摘要

音频的数字版权需要特殊的保护,以防止非法传播。将版权隐藏到音频中是确保其所有权的一种解决方案。本文提出了一种基于量化指标调制(QIM)的提升小波变换(LWT)、离散正弦变换(DST)、奇异值分解(SVD)和笛卡尔极变换(CPT)相结合的音频水印方法。主机音频首先由LWT分解。然后,选择一个子带,然后进行DST变换。然后,将DST选取的系数通过SVD分解为U、S和V矩阵。然后选择S矩阵。(1,1)和(2,2)位置的S个元素通过CPT转换为幅值和相位系数。最后,利用相位系数进行QIM水印嵌入。仿真结果表明,该方法具有很高的水印容量,具有良好的不可感知性和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CPT-Based Data Hiding in Selected Subband Using Combined Transform and Decomposition Method
A digital copyright on an audio needs a special protection to prevent it from illegal distribution. Hiding a copyright into an audio is a solution for securing its ownership. In this paper, we propose an audio watermarking using combination method of Lifting Wavelet Transform (LWT), Discrete Sine Transform (DST), Singular Value Decomposition (SVD), and Cartesian Polar Transform (CPT) using Quantization Index Modulation (QIM). A host audio is first decomposed by LWT. Next, a subband is selected then transformed by DST. Then, DST selected coefficients are decomposed into U, S and V matrices by SVD. S matrix is then selected. S elements in position (1,1) and (2,2) are converted by CPT to magnitude and phase coefficients. The phase coefficient is finally used for embedding a bit of watermark by QIM. The simulation result shows that the proposed method offers very high watermark capacity with good imperceptibility and robustness.
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