Informed embedding: exploiting image and detector information during watermark insertion

Matthew L. Miller, I. Cox, J. Bloom
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引用次数: 106

Abstract

Usually watermark embedding simply adds a globally or locally attenuated watermark pattern to the cover data (photograph, music, movie). The attenuation is required to maintain fidelity of the cover data to an observer while the watermark detector considers the cover data to be "noise". We refer to this as blind embedding. Cox, Miller and McKellips (see Proceedings of the IEEE, vol.87, no.7, p.1127-41, 1999) observed that the cover data is not noise, i.e. it is not random but completely known at the time of embedding. This knowledge, along with knowledge of the detection algorithm to be used, allows a new category of informed embedder to be realized. We describe a simple watermarking algorithm and then compare the performance of blind embedding with three types of informed embedding. Note that in all four cases, the watermark detector is unchanged, only the embedder is altered. Experimental results clearly reveal the improvement of informed over blind embedding.
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信息嵌入:在水印嵌入过程中利用图像和检测器的信息
通常水印嵌入只是在封面数据(照片、音乐、电影)上添加一个全局或局部衰减的水印图案。衰减是为了保持掩蔽数据对观察者的保真度,而水印检测器认为掩蔽数据是“噪声”。我们称之为盲嵌入。Cox, Miller和McKellips(见《IEEE学报》,第87卷,第7期)。7, p.1127- 41,1999)观察到覆盖数据不是噪声,即它不是随机的,而是在嵌入时完全已知的。这些知识,以及要使用的检测算法的知识,允许实现一个新的类别的知情嵌入器。介绍了一种简单的水印算法,并将盲嵌入与三种知情嵌入的性能进行了比较。请注意,在所有四种情况下,水印检测器是不变的,只有嵌入器被改变。实验结果清楚地表明,知情嵌入优于盲嵌入。
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