基于投影步长的扩展变换抖动调制水印算法
Step Projection-Based Spread Transform Dither Modulation
摘要
量化索引调制（Quantization Index Modulation，QIM）作为一类重要的水印算法，被广泛应用于盲水印领域。而扩展变换抖动调制（Spread Transform Dither Modulation,STDM）作为它的一个重要扩展，在抗随机噪声和重量化方面具有比较好的性能。然而，扩展变换抖动调制水印算法中所采用的量化步长是随即产生的，这并没有考虑到图像自身所独有的特征。本文采用了一个新的方法将修正的视觉模型与扩展变换抖动调制相结合，提出了基于投影步长的扩展变换抖动调制水印算法。试验结果表明，本文提出的算法成功的解决了原始扩展变换抖动调制中对于幅度倍乘攻击鲁棒性差的弱点，并且提高了其抗击椒盐噪声的能力。对比以往提出的基于扩展变换抖动调制的改进算法，本文提出的算法在抗击高斯噪声、椒盐噪声、JPEG压缩方面都有了一定的提高。
Abstract
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 which didn’t take the image’s feature 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 fixes up the weakness of the original STDM, the excessive sensitivity to valumetric scaling, successfully. Meanwhile, the robustness of STDM to Salt&Pepper Noise has been improved by a large scale. Compared with the former proposed modified schemes of STDM, our proposed scheme has considerable advantages, especially on robustness to random noise and JPEG compression.关键词
扩展变换抖动调制/投影步长/量化索引调制/视觉模型Key words
STDM/Step-Projection/Quantization Index Modulation/Perceptual Model引用本文复制引用
孙建德,李鑫超,杨晓辉,刘琚,孙赵婉.基于投影步长的扩展变换抖动调制水印算法[EB/OL].(2009-10-26)[2026-04-02].http://www.paper.edu.cn/releasepaper/content/200910-490.学科分类
电子技术应用
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