计算机应用 ›› 2010, Vol. 30 ›› Issue (4): 1038-1041.

• 信息安全 • 上一篇    下一篇

分形与伪Zernike矩的鲁棒水印算法研究

苗锡奎1,孙劲光2,张语涵2   

  1. 1. 中国科学院沈阳自动化研究所
    2.
  • 收稿日期:2009-07-13 修回日期:2009-08-24 发布日期:2010-04-15 出版日期:2010-04-01
  • 通讯作者: 苗锡奎
  • 基金资助:
    辽宁省高校重点实验室资助项目

Robust watermarking scheme based on fractal and seudo-Zernike moment

  • Received:2009-07-13 Revised:2009-08-24 Online:2010-04-15 Published:2010-04-01
  • Contact: Kui XiMIAO
  • Supported by:
    The Foundation of Liaoning Provincial Key Lab

摘要: 以分形编码技术及伪Zernike矩相关知识为基础,提出一种可有效抵抗几何攻击的高鲁棒数字水印新算法。算法首先利用分形编码及设置的阈值将图像分成自相似性块和非自相似性块;然后计算自相似性块的伪Zernike矩,并从中选出最鲁棒的矩;最后通过量化调制伪Zernike矩幅值将水印嵌入其中。仿真实验表明,算法不仅具有较好的透明性,而且对常规信号处理(滤波、锐化、加噪和JPEG压缩等)和几何攻击(全局仿射变换、局部失真等)均具有较好的鲁棒性。

关键词: 分形水印, 几何攻击, 分形编码, 伪Zernike矩, 量化调制

Abstract: A new image watermarking scheme robust to geometric attacks was proposed based on fractal coding and pseudo-Zernike moments. Firstly, the original image was divided into two groups: self-similarity blocks and non-self-similarity blocks by fractal coding and pre-set threshold. Then, the most robust pseudo-Zernike moment was picked up among the pseudo-Zernike moments of the self-similarity blocks. Finally, the watermark was embedded by quantizing the magnitudes of the most robust pseudo-Zernike moment. The experimental results show that the scheme is not only invisible and robust against common signals processing such as median filtering, sharpening, noise adding, JPEG compression, etc, but also robust against the geometric attacks such as affine transform, local geometric distortion, etc.

Key words: fractal watermarking, geometric attack, fractal coding, pseudo-Zernike moment, modulation by quantizing