计算机工程 ›› 2008, Vol. 34 ›› Issue (11): 146-148.doi: 10.3969/j.issn.1000-3428.2008.11.052

• 安全技术 • 上一篇    下一篇

基于视觉特性的半脆弱水印算法

车生兵,黄 达,李 光   

  1. (中南林业科技大学计算机科学学院,长沙 410004)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-06-05 发布日期:2008-06-05

Semi-fragile Watermark Algorithm Based on Visual Features

CHE Sheng-bing, HUANG Da, LI Guang   

  1. (College of Computer Science, Central South University of Forestry & Technology, Changsha 410004)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-06-05 Published:2008-06-05

摘要: 为准确识别数字媒体的版权,更好地提高半脆弱水印的透明性和鲁棒性,提出离散小波变换域中基于人眼视觉特性模型的特征参数及其表示方法,给出适用于一般变换域参数调整的量化中心极限定理,使得在动态量化过程中嵌入的半脆弱水印能够达到最大的鲁棒性。实验表明,算法生成的载体图像透明性好,对常见的JPEG压缩、噪声迭加和平滑滤波等图像处理操作具有较好的鲁棒性,可嵌入的水印信息量大,并能准确确定恶意攻击的位置。

关键词: 半脆弱水印, 视觉特性模型, 量化中心极限定理, 动态量化

Abstract: In order to improve the invisibility and the robustness of semi-fragile watermark, this paper brings up characteristic and representation in DWT transform domain based on visual features model, and puts forward the quantized central limit theorem which applies to adjust the coefficients in general transform domain. These all make semi-fragile watermark embedded through dynamic quantization achieve the greatest robustness. It leads up to the better invisibility of carrier image, the better robustness to the image processing, such as JPEG compression, noise adding, filtering, and the larger amount of embedded information. What’s more, it can ascertain the position of vicious attack exactly. The speed of this algorithm is also high.

Key words: semi-fragile watermark, visual features model, quantized central limit theorem, dynamic quantization

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