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

Yudit Arum Mekarsari, D. Setiadi, C. A. Sari, E. H. Rachmawanto, Muljono
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引用次数: 9

Abstract

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.
基于2级离散小波变换和奇异值分解的RGB图像非盲水印技术
利用各种水印方法对数字图像进行安全保护的主要问题是如何在水印图像的鲁棒性和嵌入水印时的不可感知性和失真影响之间进行优化权衡。本研究将离散小波变换(DWT)和奇异值分解(SVD)算法相结合,提出了一种用于真彩色图像版权保护的水印插入方法。将DWT处理最多进行2级,然后通过奇异值分解(SVD)方法选择子带LL2插入水印。本研究的测量工具采用MSE、PSNR、SSI M进行不可感知性测量和NC质量测量进行鲁棒性测量。结果表明,该方法能够很好地处理不可感知性和鲁棒性之间的关系。利用高斯噪声、椒盐噪声、裁剪、模糊和旋转等攻击来提高水印图像的复原能力。该方法得到的PSNR和SSIM值相当稳定,PSNR在40 dB以上,SSIM在0.99以上。而该方法得到的NC平均值为1。
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