Attack characterisation of compressed images

H. Knowles, D. Winne, C. N. Canagarajah, D. Bull
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Abstract

We propose the use of robust watermarks to enable the characterisation of attacks even after lossy compression, such as JPEG and JPEG2000. A previously constructed Bayesian framework is used to allow characterisation of attacks from a predetermined library, and the double watermarking technique as earlier proposed by the authors is employed to generate the features used to drive the classifier. The results show that the developed techniques perform well for both types of compression.
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压缩图像的攻击特征
我们建议使用鲁棒水印,即使经过有损压缩,如JPEG和JPEG2000,也能对攻击进行表征。使用先前构建的贝叶斯框架来允许从预先确定的库中描述攻击,并使用作者先前提出的双水印技术来生成用于驱动分类器的特征。结果表明,所开发的技术对两种类型的压缩都有很好的效果。
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