Performance analysis and improvement of dither modulation under the composite attacks
Performance analysis and improvement of dither modulation under the composite attacks
复制标题
复合攻击下抖动调制的性能分析与改进
DOI：
10.1186/1687-6180-2012-53
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发表时间：
2012-03
影响因子：
1.9
通讯作者：
Jie Ding
中科院分区：
文献类型：
--
作者：
Xinshan Zhu;Jie Ding
本文的第一个目标是分析抖动调制（DM）对包括值度量缩放、加性噪声和常数变化的复合攻击的性能。分析是在假设宿主向量和噪声向量相互独立，且两者具有独立同分布分量的条件下进行的。推导了几种相关信号的概率密度函数和译码错误概率的一般表达式。对于广义高斯宿主和噪声的情况，给出了具体的理论结果.基于分析，DM的性能进行了预测，为不同的情况下，具有较高的准确度，并评估不同的主机和噪声信号的分布模型。数值仿真验证了理论分析的正确性。然后，我们致力于提高DM的鲁棒性对valumetric缩放加常数变化。提出了归一化抖动调制（NDM）方法，该方法通过构造一个零均值的增益不变矢量进行量化。性能分析表明，NDM在理论上对度量尺度的缩放和常数变化具有不变性，在其他方面也达到了与DM相似的性能。通过对量化误差进行加权，进一步提高了NDM的性能。在真实的图像上的实验也表明了NDM在幅度缩放和恒定变化的情况下优于DM。
The first goal of this article is to analyze the performance of dither modulation (DM) against the composite attacks including valumetric scaling, additive noise and constant change. The analyzes are developed under the assumptions that the host vector and noise vector are mutually independent and both of them have independently and identically distributed components. We derive the general expressions of the probability density functions of several concerned signals and the decoding error probability. The specific theoretical results are provided for the case of generalized Gaussian host and noise. Based on the analyzes, the performance of DM is predicted for different scenarios with a high degree of accuracy and evaluated for different distribution models of host and noise signals. Numerical simulations confirm the validity of the given theoretical analyzes. Then, we address to improve the robustness of DM against valumetric scaling plus constant change. The normalized dither modulation (NDM) is presented, which works by constructing a gain-invariant vector with zero mean for quantization. Performance analysis shows that NDM is theoretically invariant to valumetric scaling and constant change and achieves similar performance to DM in other aspects. The performance of NDM is further improved by weighting the quantization errors. Experiments on real images also show the advantage of NDM over DM subject to amplitude scaling and constant change.
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DOI：
10.1109/tifs.2008.922057
发表时间：
2008-06-01
影响因子：
6.8
作者：
Perez-Gonzalez, Fernando;Mosquera, Carlos
通讯作者：
Mosquera, Carlos
影响因子：
8.3
作者：
L. Schuchman
通讯作者：
L. Schuchman
影响因子：
5.4
作者：
F. Bartolini;M. Barni;A. Piva
通讯作者：
F. Bartolini;M. Barni;A. Piva
DOI：
10.1109/tifs.2007.897279
发表时间：
2007-06
影响因子：
6.8
作者：
Jean-Philippe Boyer;P. Duhamel;J. Blanc-Talon
通讯作者：
Jean-Philippe Boyer;P. Duhamel;J. Blanc-Talon
DOI：
10.1002/9781119700999.app
发表时间：
2021-08
期刊：
Matrix and Tensor Decompositions in Signal Processing
影响因子：
--
作者：
M. Huhtala
通讯作者：
M. Huhtala