基于统计方法的鲁棒数字水印

Pei-Min Chen
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引用次数: 10

摘要

数字水印是电子文献和媒体版权保护的一个新兴研究领域,是网络空间社会亟待解决的重要问题之一。提出了一种用于图像上数字水印嵌入和提取的统计方法。该方法基于这样一种认识,即水印攻击后的隐写图像在保留其商业价值的前提下,应保留其特征。换句话说,攻击后的图像外观仍然清晰可见,与原始图像相似。这种保存可以反映为,在没有攻击的隐写和有攻击的隐写图像中,像素的颜色水平差异很可能是相同的。在对隐写图像进行多次攻击后,该方法所嵌入的数字水印具有较好的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A robust digital watermarking based on a statistic approach
Digital watermarking is an emerging research area for copyright protection of electronic documents and media, which is one of the most important problems to be solved in the cyberspace society. A statistic approach for embedding and extracting a digital watermark on an image is proposed. This approach is based on the realization that a stego-image after watermark attacks should preserve the characteristics of the stego-image if the stego-image after attacks retains its commercial values. In other words, the appearance of the image after attacks is still clearly visible and similar to the original image. This kind of preservation can be reflected as the variances of color levels of pixels both in stego-without-attacks- and stego-with-attacks-images are most likely the same. The embedded digital watermark by this approach seems robust after several attacks are performed on the stego-image.
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