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Watermarking Method Using Concatenated Code for Scaling and Rotation Attacks

机译:用于缩放和旋转攻击的连接代码的水印方法

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We proposed a watermarking method using a concatenated code and evaluated the method on the basis of IHC evaluation criteria. The criteria include JPEG compression, clipping, scaling, and rotation as attacks. For the robustness of messages, we introduced concatenated code, since it has a high error corrective ability to decode messages against JPEG compression. When a region is cropped from a stego-image, the position of watermarks might be unclear. Therefore, markers or synchronization codes were embedded into the stego-image. Since scaling causes pixel loss, and rotation causes distortion, watermarks were embedded into minified images. Quantization index modulation was used for embedding and extracting the watermarks without the original images. As a result, our method was evaluated on the basis of highest image quality and could achieve an average peak signal-to-noise ratio of 36.250 dB. Moreover, our method was evaluated on the basis of highest tolerance and could achieve an average compression ratio of 2.633% without errors.
机译:我们提出了一种使用连接代码的水印方法,并在IHC评估标准的基础上评估该方法。标准包括JPEG压缩,剪切,缩放和旋转作为攻击。对于消息的稳健性,我们引入了连接代码,因为它具有对JPEG压缩的邮件解码消息的高纠错能力。当从STEGO图像裁剪区域时,水印的位置可能尚不清楚。因此,标记或同步码嵌入到STEGO图像中。由于缩放导致像素损耗,并且旋转导致失真,因此将水印嵌入到缩小图像中。量化索引调制用于嵌入和提取没有原始图像的水印。结果,我们的方法是基于最高图像质量评估的,并且可以达到36.250 dB的平均峰值信噪比。此外,我们的方法是在最高耐受性的基础上评估的,并且可以在没有误差的情况下达到2.633%的平均压缩比。

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