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Evaluation of scanned image tolerance by using spread spectrum digital watermarking with regression analysis

机译:使用扩展频谱数字水印和回归分析评估扫描图像的容忍度

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摘要

In order to detect watermarks from a scanned image, we investigated color change between the stego-image and the scanned one. The color distribution of the scanned image varies depending on the distribution of the stego-image and the conditions of both printer and scanner. By this variation, it is hard to extract the watermarks from the scanned image. To improve robustness of the watermarks, we introduce the spread spectrum watermarking method in the embedder and decoder. The results of correlation between the stego-image and the scanned one by the regression method show that the mapping can be approximated by a regression line. Therefore, the color of the scanned image was corrected by using the regression line. As a result, the bit error rate for the watermarks obtained from the corrected image can be reduced.
机译:为了检测扫描图像中的水印,我们研究了隐秘图像和扫描图像之间的颜色变化。扫描图像的颜色分布取决于隐密图像的分布以及打印机和扫描仪的状况。通过这种变化,很难从扫描图像中提取水印。为了提高水印的鲁棒性,我们在嵌入器和解码器中引入了扩频水印方法。通过回归方法隐秘图像和扫描图像之间的相关性结果表明,映射可以通过回归线来近似。因此,通过使用回归线来校正扫描图像的颜色。结果,可以减小从校正图像获得的水印的误码率。

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