Image Watermarking Robust Against Non-Linear Value-Metric Scaling Based on Higher Order Statistics
Image Watermarking Robust Against Non-Linear Value-Metric Scaling Based on Higher Order Statistics
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DOI：
10.1109/icassp.2006.1661296
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发表时间：
2006-05
期刊：
影响因子：
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通讯作者：
Fabrizio Guerrini;R. Leonardi;M. Barni
中科院分区：
文献类型：
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作者：
Fabrizio Guerrini;R. Leonardi;M. Barni
提出了一种新的基于qim的静态图像水印系统。新系统专门设计用于处理直方图拉伸和伽马校正等非线性值度量缩放攻击。通过认识到任何值度量缩放攻击都不能改变图像的整体外观，我们认为水印应该插入到高级视觉特征中。我们向这个方向迈出了第一步，提出了一个将水印嵌入选定图像块的峰度的系统。尽管峰度对非线性增益不是严格不变的，但只要图像内容没有明显改变，它的值就会保持不变。实验结果证实了新系统的有效性，但仍有一些问题需要解决，以使其适合实际应用
A new QIM-based image watermarking system for still images is proposed. The new system is expressly designed to cope with non-linear value-metric scaling attacks such as histogram stretching and gamma correction. By recognizing that any value-metric scaling attack must not change the global appearance of the image, we argue that the watermark should be inserted into high level visual features. We move a first step into this direction by proposing a system embedding the watermark into the kurtosis of selected image blocks. Though the kurtosis is not strictly invariant against non-linear gain, its value tends to remain constant whenever the image content is not altered significantly. The experiments we carried out confirm the validity of the new system, though some problems still need to be solved to make it suitable for real applications