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An Information fusion Algorithm Based on Dopplerlet-Hough Transformation

机译：一种基于Doppllet-Hough变换的信息融合算法

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In this paper, a robust image watermarking method with S-Hough transformation is proposed which is robust against geometric distortion. This watermarking is detected by a linear frequency change. The chirp signals are used as watermarks and this type of signals is resistant to all stationary filtering methods and exhibits geometrical symmetry. In the two-dimensional Radon-Wigner transformation domain, the chirp signals used as watermarks change only its position in space/spatial-frequency distribution, after applying linear geometrical attack. But the two-dimensional Radon-Wigner transformation needs too much difficult computing. We propose a modified Hough transformation to provide improved energy concentration of the Dopplerlet transform. The proposed scheme can resolve the time-frequency localization in a better way than the standard Dopplerlet transformation. The watermark is embedded in the 1D improved Dopplerlet transformation domains. The watermark thus generated is invisible and performs well in test and is robust to geometrical attacks. Compared with other watermarking algorithms, this algorithm is more robust, especially against geometric distortion, while having excellent frequency properties.
机译：在本文中，提出了一种具有S-霍夫变换的鲁棒图像水印方法，其对几何失真具有鲁棒性。通过线性频率变化检测该水印。啁啾信号用作水印，这种类型的信号对所有固定过滤方法抵抗并且展示了几何对称性。在施加线性几何攻击之后，在二维氡 - Wigner变换域中，用作水印的啁啾信号仅在空间/空间频率分布中改变其位置。但是，二维氡气转换需要太多困难的计算。我们提出了一种改进的霍夫转换，以提供更改善的Dopplerlet变换的能量浓度。所提出的方案可以以比标准多普列利更法变换更好的方式解决时频定位。水印嵌入1D改进的Dopplerlet变换域中。如此生成的水印是不可见的并且在测试中表现良好，并且对几何攻击具有稳健性。与其他水印算法相比，该算法更鲁棒，尤其是对几何失真，同时具有出色的频率特性。

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