Step-projection-based spread transform dither modulation

Step-projection-based spread transform dither modulation
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基于步进投影的扩展变换抖动调制

DOI:
10.1049/iet-ifs.2010.0218
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发表时间:
2011-09
影响因子:
1.4
通讯作者:
Li, X.
Li, X.
中科院分区:
计算机科学4区
文献类型:
--
作者:
Liu, J.;Liu, W.;Sun, J.;Yang, X.;Li, X.

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量化索引调制(QIM)是一类重要的数字水印算法,在盲水印中得到了广泛的应用。扩展变换抖动调制(STDM)作为QIM的一种扩展,在抗随机噪声和重量化方面具有良好的性能。然而,在STDM中使用的量化步长是不考虑图像的特征的随机数。作者提出了一个步骤投影为基础的方法,将感知模型与STDM框架。根据感知模型的不同修改版本,进一步给出了该算法的四种实现。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框架相结合,从而显着提高图像保真度。与以前提出的STDM改进方案相比,本文的最佳实现方案对常见的攻击具有较强的抵抗能力,尤其是对高斯噪声、椒盐噪声和JPEG压缩的鲁棒性。
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.
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