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Improved spread transform dither modulation-based watermark algorithm based on step projection

机译:基于阶跃投影的改进的基于扩展变换抖动调制的水印算法

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Quantization Index Modulation is an important class of watermark methods, which has been widely used in blind watermark applications. And it is well known that spread transform dither modulation (STDM), as an extension of QIM, has good performance in robustness to random noise and re-quantization. However, the quantization step sizes used in STDM are random numbers not takeing the feature of the image into account. In this paper, we proposed a step projection-based STDM algorithm, which applies a novel way to incorporate the modified perceptual model with STDM framework. Experimental results indicate that our proposed scheme counters the weakness of the original STDM, the excessive sensitivity to valumetric scaling, successfully. Compared with the former proposed modified schemes of STDM [3]–[5], our proposed scheme have considerable advantages, especially in robustness to Gauss Noise, Saltu00026;Pepper Noise and JPEG compression.
机译:量化指数调制是水印方法的重要一类,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。在本文中,我们提出了一种基于步骤投影的STDM算法,该算法采用一种新颖的方法将改进的感知模型与STDM框架相结合。实验结果表明,我们提出的方案成功地解决了原始STDM的弱点,即对度量尺度的过度敏感。与之前提出的STDM修改方案[3] – [5]相比,我们提出的方案具有相当大的优势,特别是在对高斯噪声,Saltu00026,胡椒噪声和JPEG压缩的鲁棒性方面。

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