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Rotation, scaling and translation invariant image watermarking using feature points
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  • 分类:TP391[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]Institute of Intelligent Control and Image Engineering, Xidian University,Xi'an 710071, China, [2]National Laboratory of Pattern Recognition, Chinese Academy of Sciences,Beijing 100080, China
  • 相关基金:Acknowledgements This work is supported by the Hi-Tech Research and Development Program of China (2006AA01Z127), National Natural Science Foundation of China (60572152 and 60603011), and Ph.D. Programs Foundation of Ministry of Education of China (20060701004).
  • 相关项目:基于多小波的静止图像压缩编码新方法及关键技术研究
中文摘要:

在这篇文章,一个新奇柔韧的图象 watermarking 计划被介绍抵抗旋转,可伸缩,并且翻译(RST ) 。开始,原来的图象是使正常化的规模,并且特征点然后被提取。而且,局部地,很稳定的特征点被用来产生几个 nonoverlapped 通报区域。这些区域当时是使正常化产生不变的区域的旋转。嵌入的水位标和抽取在分离余弦变换领域在不变的区域被实现。在解码器,没有原来的图象,水位标能被提取。模拟结果证明建议计划对传统的信号处理攻击, RST 攻击,以及一些联合攻击柔韧。

英文摘要:

In this article, a novel robust image watermarking scheme is presented to resist rotation, scaling, and translation (RST). Initially, the original image is scale normalized, and the feature points are then extracted. Furthermore, the locally most stable feature points are used to generate several nonoverlapped circular regions. These regions are then rotation normalized to generate the invariant regions. Watermark embedding and extraction are implemented in the invariant regions in discrete cosine transform domain. In the decoder, the watermark can be extracted without the original image. Simulation results show that the proposed scheme is robust to traditional signal processing attacks, RST attacks, as well as some combined attacks.

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