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Improved STDM Watermarking Using Semantic Information-Based JND Model

机译：基于语义信息的JND模型改进的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：在基于量化的水印框架领域中，仅感知感知的失真（JND）模型已引起越来越多的关注。 JND模型可以在健壮性和保真度之间提供出色的权衡。但是，传统的JND模型不适合基于量化的水印，因为图像已通过水印嵌入而被更改。在本文中，我们提出了一种改进的扩展变换抖动调制（STDM）水印方案，该方案基于根据JND机制产生的图像原始特征。该过程包括通过利用代表语义信息的边缘强度的新度量来进行对比掩盖效果。此外，所提出的基于语义信息的JND模型在理论上可以不影响水印嵌入处理中的变化。新提出的JND模型非常简单，但在STDM水印中更有效。实验结果表明，与以前提出的感知STDM方案相比，提出的水印方案可以带来更好的性能。

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