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Step-projection-based spread transform dither modulation

机译：基于步投影的扩展变换抖动调制

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摘要

Quantisation index modulation (QIM) is an important class of watermarking methods, which has been widely used in blind watermarking applications. It is well known that spread transform dither modulation (STDM), as an extension of QIM, has good performance in robustness against random noise and re-quantisation. However, the quantisation step-sizes used in STDM are random numbers not taking features of the image into account. The authors present a step projection-based approach to incorporate the perceptual model with STDM framework. Four implementations of the proposed algorithm are further presented according to different modified versions of the perceptual model. Experimental results indicate that the step projection-based approach can incorporate the perceptual model with STDM framework in a better way, thereby providing a significant improvement in image fidelity. Compared with the former proposed modified schemes of STDM, the author??s best performed implementation provides powerful resistance against common attacks, especially in robustness against Gauss noise, salt and pepper noise and JPEG compression.
机译：量化指数调制（QIM）是一类重要的水印方法，已广泛用于盲水印应用中。众所周知，作为QIM的扩展，扩展变换抖动调制（STDM）在针对随机噪声和重新量化的鲁棒性方面具有良好的性能。但是，STDM中使用的量化步长是不考虑图像特征的随机数。作者提出了一种基于步骤投影的方法，将感知模型与STDM框架结合在一起。根据感知模型的不同修改版本，进一步提出了所提出算法的四种实现方式。实验结果表明，基于步进投影的方法可以更好地将感知模型与STDM框架结合在一起，从而显着提高图像保真度。与以前建议的STDM修改方案相比，作者的最佳执行实现提供了强大的抵抗常见攻击的能力，尤其是在抵抗高斯噪声，盐和胡椒噪声以及JPEG压缩的鲁棒性方面。

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