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Multichannel color image watermark detection utilizing vector-based hidden Markov model

机译:利用传染媒介的隐马尔可夫模型的多通道彩色图像水印检测

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Multimedia data piracy in the Internet is a growing problem, since it provides easy and fast data transmission. Watermarking is regarded as a solution to restrain unauthorized duplication or distribution data. Image watermarking research mostly focuses on grayscale images with an extension to color images. However, most of these techniques ignore dependencies between color channels. In view of this, in this work, a multichannel color image watermarking technique and its corresponding detector in the wavelet domain is proposed. The inter-channel dependencies between RGB channels and inter-scale dependencies of the wavelet coefficients of color image are taken into account by employing the vector-based hidden Markov model. We conduct experiment on a set of color images to assess the performance of the proposed watermark detector. The results show that the performance of the proposed detector is superior to that of the other detectors in terms of the imperceptibility of the embedded watermark and the detection rate. It is also shown that the proposed detector has better performance in presence or absence of different kinds of attacks in comparison to the other existing methods.
机译:互联网中的多媒体数据盗版是一个不断增长的问题,因为它提供了简单快速的数据传输。水印被视为抑制未经授权的重复或分发数据的解决方案。图像水印研究主要集中在灰度图像上,彩色图像的延伸。但是,这些技术中的大多数忽略了颜色通道之间的依赖性。鉴于此,在这项工作中,提出了多通道彩色图像水印技术及其在小波域中的相应检测器。通过采用基于向量的隐马尔可夫模型来考虑RGB信道与彩色图像的小波系数的帧间依赖性之间的通道间依赖性。我们在一组彩色图像上进行实验,以评估所提出的水印检测器的性能。结果表明,就嵌入水印的难以察觉和检测速率而言,所提出的检测器的性能优于其他探测器的性能。还表明,与其他现有方法相比,所提出的检测器在存在或不存在不同类型的攻击方面具有更好的性能。

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