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Blind dewatermarking method based on wavelet transform

机译：基于小波变换的盲水印方法

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摘要

Along with the improvement of image watermarking tech-niques, the necessity for effectively and comprehensively evaluating var-ious algorithms becomes imperative. In this paper, we first propose a new categorization that fits for most of the existing watermarking algo-rithms that work in the wavelet domain. Then an adaptive watermark-ing attack for evaluating the robustness of watermarking schemes that are based on the proposed categorization is presented. This attack de-termines the flat regions, edges, and textures of the watermarked im-age and based on known features of each region the proposed at-tack tries to destroy the watermark information. This is done by sep-arately manipulating the wavelet coefficients of each region such that the least visual distortion will be imposed on the attacked image. We study some recent watermarking techniques in terms of the water-mark invisibility and robustness through subjective experiments and ob-jective metrics. The average peak signal-to-noise ratio (PSNR) of the watermarked image after applying the proposed attack is more than 35 dB and the average normalized cross correlation (NC) for the ex-tracted watermark is lower than 0.4, so theoretically, the watermark is not detectable. Moreover, the proposed method does not consider any knowledge about the underlying watermarking algorithm.
机译：随着图像水印技术的改进，有效和全面地评估各种算法的必要性变得迫在眉睫。在本文中，我们首先提出一种适合小波域中大多数现有水印算法的新分类方法。然后提出了一种自适应水印攻击，用于评估基于所提出分类的水印方案的鲁棒性。该攻击确定水印图像的平坦区域，边缘和纹理，并基于每个区域的已知特征，建议的攻击尝试破坏水印信息。这是通过分别处理每个区域的小波系数来完成的，从而将最小的视觉失真强加给被攻击的图像。我们通过主观实验和客观指标来研究水印的隐身性和鲁棒性方面的一些最新水印技术。应用该攻击后，水印图像的平均峰值信噪比（PSNR）超过35 dB，并且提取水印的平均归一化互相关（NC）低于0.4，因此从理论上讲，无法检测到水印。而且，所提出的方法不考虑关于基础水印算法的任何知识。

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