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计算机工程 ›› 2012, Vol. 38 ›› Issue (20): 101-104. doi: 10.3969/j.issn.1000-3428.2012.20.026

• 安全技术 • 上一篇    下一篇

基于尺度不变特征的脊波域量化水印算法

文汝红   

  1. (宜春学院物理科学与工程技术学院,江西 宜春 336000)
  • 收稿日期:2011-12-29 修回日期:2012-02-27 出版日期:2012-10-20 发布日期:2012-10-17
  • 作者简介:文汝红(1979-),女,讲师、硕士,主研方向:图像信息处理,光电技术
  • 基金资助:
    江西省教育厅基金资助项目(JXJG-08-14-25)

Quantization Watermarking Algorithm in Ridgelet Domain Based on Scale Invariant Feature

WEN Ru-hong   

  1. (College of Physical Science and Technology, Yichun University, Yichun 336000, China)
  • Received:2011-12-29 Revised:2012-02-27 Online:2012-10-20 Published:2012-10-17

摘要: 针对传统数字水印算法抵抗旋转、缩放等几何攻击能力较弱的问题,提出一种基于尺度不变特征的脊波域量化水印算法。利用尺度不变特征变换构造稳定的图像局部区域,对局部区域实施脊波变换,选择能量较大方向上的脊波细节系数,利用量化索引调制策略嵌入水印信息。仿真结果表明,该算法具有较好的检测性能,在抗压缩、叠加噪声、缩放、剪切等攻击方面具有较强的鲁棒性。

关键词: 量化水印, 脊波变换, 量化索引调制, 尺度不变特征变换, 不可感知性, 鲁棒性

Abstract: The robustness of common watermarking is poor when against some geometric attacks such as rotation, scaling, etc. According to this problem, a quantization watermarking method based on scale invariant feature by using ridgelet transform is proposed in this paper. In order to improve the robustness of watermark, the invariant feature local region is constructed by using the scale invariant feature transform, then the direction of the largest energy of ridgelet transform coefficients is selected by taking the ridgelet transform for local region. Finally, the watermark data is embedded into the largest energy coefficients by adopting the quantization index modulation method. Experimental results show that the method has good detection performance and good robustness when against common image processing attacks.

Key words: quantization watermarking, ridgelet transform quantization index modulation, scale invariant feature transform, imperceptibility, robustness

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