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A Blind Watermarking Using Data Matrix and Changing Coefficients in Wavelet Domain

机译:利用数据矩阵和小波域变化系数的盲水印

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摘要

In this paper, we propose a blind watermarking using the Discrete Wavelet Transform (DWT) technique. We have shown a robustness in several attacks by inserting the watermark in the frequency domain instead of spatial domain in the image. Also, we can extract watermark without the original image using this blind watermarking. An original image is transformed into the 4 sub-band areas (HH, HL, LH, LL) by the DWT. We select the two sub-band areas (HL, LH) for watermarking, except for the low-low (LL, HH) sub-band area. For watermarking, a watermark is encrypted by an encryption key, and it holds a certain value of two sub-bands, which is selected according to the value of watermark that we want to insert or change. And we insert watermark to the image. For extraction, a watermarked image is transformed by DWT, we compare the coefficient values of two sub-bands used in inserting watermarking, we extract the encrypted watermark, and we reconstruct the watermark by the encryption key. We apply the proposed method to the data matrix that is a two-dimension bar-code. For error detection code and error correction code, we use the ECC 200. For the JPEG image with the watermark, we could get the better PSNR(Peak Signal to Noise Ratio) and NC(Normalized Correlation) for the performance evaluation.
机译:在本文中,我们提出了使用离散小波变换(DWT)技术的盲水印。通过在图像的频域而不是空间域中插入水印,我们已经展示了几种攻击的鲁棒性。同样,我们可以使用这种盲水印提取没有原始图像的水印。 DWT将原始图像转换为4个子带区域(HH,HL,LH,LL)。我们选择两个子带区域(HL,LH)进行水印处理,除了低-低(LL,HH)子带区域。对于水印,水印由加密密钥加密,并且具有两个子带的某个值,这是根据我们要插入或更改的水印的值选择的。然后我们在图像上插入水印。为了提取水印,通过DWT变换水印图像,我们比较插入水印时使用的两个子带的系数值,提取加密的水印,并通过加密密钥重建水印。我们将所提出的方法应用于二维条形码的数据矩阵。对于错误检测代码和错误校正代码,我们使用ECC200。对于带有水印的JPEG图像,我们可以获得更好的PSNR(峰值信噪比)和NC(归一化相关性)进行性能评估。

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