计算机与现代化 ›› 2011, Vol. 1 ›› Issue (8): 164-167,.doi: 10.3969/j.issn.1006-2475.2011.08.045

• 信息安全 • 上一篇    下一篇

基于人类视觉系统的自适应数字图像水印算法

杜 浩   

  1. 北京工业大学软件学院,北京 100022
  • 收稿日期:2011-04-19 修回日期:1900-01-01 出版日期:2011-08-10 发布日期:2011-08-10

Research on Adaptive Watermarking Techniques for Digital Images Based on HVS

DU Hao   

  1. College of Software, Beijing University of Technology, Beijing 100022, China
  • Received:2011-04-19 Revised:1900-01-01 Online:2011-08-10 Published:2011-08-10

摘要: 结合人类视觉系统(Human Visual System,HVS),对离散余弦变换(Discrete Cosine Transform,DCT)域水印算法进行改进,通过修改JPEG(Joint Photographic Experts Group,联合图像专家组)量化表得到自适应量化步长的量化表,用修正后的量化表对DCT系数进行量化,然后按照Zig-Zag扫描顺序实现自适应选择水印图像的嵌入频段 (现有的算法大都选用固定步长和固定的嵌入频段)。实验表明,该算法具有很好的不可见性和稳定性。

关键词: 人类视觉系统, 离散余弦变换, 量化

Abstract: This thesis researches the watermarking techniques. Through combining human visual system, an improved algorithm based on DCT transform is proposed. The way is to use the adaptive quantization on the basis of JPEG quantization table, and meanwhile selecting the place of watermark embedding improved. Experimental results show that the selection of embedded place makes algorithm adapted to the image with different general characters and local characteristics, and therefore it generates a lot of mobility. At the same time, good stability and visibility are testified from the experimental data and macroscopic observation.

Key words: human visual system, DCT, quantization

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