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Non-blind RGB image watermarking technique using 2-level discrete wavelet transform and singular value decomposition

机译:基于两级离散小波变换和奇异值分解的非盲RGB图像水印技术

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摘要

The main problem in using various watermarking methods to secure digital images is how to optimize the trade-off between robustness watermarked image against the effect of distortion and imperceptibility on watermark insertion. This research proposes a watermark insertion method to protect copyright in true color (RGB) images by combining Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) algorithms. DWT process will be done as much as 2 levels then selected subband LL2 to inserted watermark by Singular Value Decomposition (SVD) method. Measuring tool in this research using MSE, PSNR, SSI M for imperceptibility and NC quality measurement for robustness measurement. The results show that the proposed scheme can optimize the trade-off between imperceptibility and robustness. Some attacks are used such as Gaussian noise, salt & pepper noise, crop, blur and rotate for watermarked image resilience. The PSNR and SSIM values produced from this method are fairly stable values above 40 dB for PSNR and above 0.99 for SSIM. While the average value of NC resulting from this method is 1.
机译:使用各种水印方法来保护数字图像的主要问题是如何优化鲁棒性水印图像之间的权衡,以防止失真和水印插入中的不可感知性。这项研究提出了一种水印插入方法,通过结合离散小波变换(DWT)和奇异值分解(SVD)算法来保护真彩色(RGB)图像中的版权。 DWT处理将进行多达2个级别,然后通过奇异值分解(SVD)方法选择子带LL2插入水印。本研究中的测量工具使用MSE,PSNR,SSI M进行不可感知性,使用NC质量测量进行鲁棒性测量。结果表明,所提出的方案可以优化不感知性和鲁棒性之间的权衡。使用了一些攻击,例如高斯噪声,盐和胡椒噪声,修剪,模糊和旋转,以实现水印图像的弹性。通过这种方法产生的PSNR和SSIM值对于PSNR高于40 dB,对于SSIM高于0.99是相当稳定的值。该方法得出的NC平均值为1。

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