自适应抖动调制图像水印算法

肖俊; 王颖

doi:10.3724/SP.J.1146.2007.01652

自适应抖动调制图像水印算法

doi: 10.3724/SP.J.1146.2007.01652

肖俊,
王颖

基金项目:

国家自然科学基金(60772155)和网络安全与密码技术福建省高校重点实验室开放课题(07A006)资助课题

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- 被引次数: 0
出版历程
- 收稿日期: 2007-10-22
- 修回日期: 2008-03-18
- 刊出日期: 2009-03-19

Adaptive Dither Modulation Image Watermarking Algorithm

Xiao Jun,
Wang Ying

摘要

摘要: 量化步长是影响量化水印算法性能的最关键因素之一。该文根据JPEG量化表自适应地选择抖动调制中的量化步长，提出了一种新的自适应量化水印算法；并将JPEG量化表和Watson感知模型相结合提出了另一种新的自适应量化水印算法。实验结果表明该文提出的两种算法对噪声干扰和常见的图像处理具有较好的鲁棒性。此外，研究还表明JPEG量化表和Watson模型均可以用于缓解量化水印算法对噪声的敏感程度，而结合了两者的水印算法可以获得最佳性能。
- 量化水印;抖动调制;Watson模型;JPEG量化表;自适应量化
Abstract: Quantization step is one of the key factors affecting the performances of quantization watermarking. In this paper, a new quantization watermarking algorithm is proposed using the JPEG quantization table to choose the quantization step of dither modulation adaptively, and another new adaptive quantization watermarking algorithm is proposed by combining the JPEG quantization table and the Watson model. Experimental results show that the proposed two algorithms are robust to noise and image transformations. Besides, the results also show that both the JPEG quantization table and the Watson model can be used to reduce the sensitivity of quantization watermarking to noise, and the best performance can be achieved when both of them are used.

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