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Improved STDM Watermarking Using Semantic Information-Based JND Model

机译：基于语义信息的JND模型改进了STDM水印

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摘要

The perceptual just noticeable distortion (JND) model has attracted increasing attention in the field of the quantization-based watermarking framework. The JND model can provide a superior tradeoff between robustness and fidelity. However, the conventional JND models are not fit for the quantization-based watermarking, as the image has been altered by watermarking embedding. In this paper, we present an improved spread transform dither modulation (STDM) watermarking scheme, which is based on the image primitive features produced according to JND mechanism. The procedures include the contrast masking effect by utilizing a new measurement of edge strength which represent semantic information. What's more, the proposed semantic information-based JND model can be theoretically invariant to the changes in the watermark-embedding processing. The newly proposed JND model is very simple but more effective in the STDM watermarking. Experiments results demonstrate that the proposed watermarking scheme can bring about better performance compared with previously proposed perceptual STDM schemes.
机译：感知只是明显的失真（JND）模型在基于量化的水印框架领域引起了越来越长的关注。 JND模型可以在鲁棒性和保真之间提供卓越的权衡。然而，传统的JND模型不适合基于量化的水印，因为通过水印嵌入而改变了图像。在本文中，我们介绍了一种改进的扩展变换抖动调制（STDM）水印方案，其基于根据JND机构产生的图像原始特征。该程序通过利用代表语义信息的边缘强度的新测量来包括对比掩蔽效果。更重要的是，所提出的基于语义信息的JND模型可以是理论上不变于水印嵌入处理的变化。新提议的JND模型非常简单，但在STDM水印中更有效。实验结果表明，与先前提出的感知STDM方案相比，所提出的水印方案可以带来更好的性能。

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