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Traffic Image Authentication Based on Pinned Sine Transform

机译:基于固定的正弦变换的流量图像认证

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Road traffic monitoring using visual-based camera and real-time image processing techniques have been actively investigated over the years. Traffic image sequences are important information for the purpose of traffic system control and traffic accidents surveillance, for example, the determination of offending vehicles. In this paper, a semi-fragile watermarking method for authentication of traffic images is proposed using the pinned sine transform (PST). The watermarking system can localize the portions of image that have been tampered maliciously with high accuracy. In particular, the watermarking scheme is very sensitive to any texture alteration in the watermarked images, which is crucial for traffic image analysis. The overlapping block division in the process of PST renders the watermarking scheme resistant to content cutting and pasting counterfeiting attacks. Simulation results are presented to demonstrate the effectiveness of the proposed method.
机译:多年来,使用基于视觉相机和实时图像处理技术的道路交通监控。 交通图像序列是交通系统控制和交通意外监视的重要信息,例如,确定冒犯车辆。 在本文中,使用固定的正弦变换(PST)提出了一种用于认证交通图像的半易碎水印方法。 水印系统可以通过高精度恶意地篡改篡改的图像部分。 特别地,水印方案对水印图像中的任何纹理改变非常敏感,这对于交通图像分析至关重要。 PST过程中的重叠块分割使水印方案抵抗内容切割和粘贴伪造攻击。 提出了仿真结果以证明该方法的有效性。

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