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计算机工程 ›› 2011, Vol. 37 ›› Issue (2): 143-144. doi: 10.3969/j.issn.1000-3428.2011.02.049

• 安全技术 • 上一篇    下一篇

基于提升小波变换的自适应盲水印算法

贾朱植1a,祝洪宇1b,2,3,程万胜1b   

  1. (1. 辽宁科技大学 a. 高等职业技术学院;b. 电子与信息工程学院,辽宁 鞍山 114051;2. 中国科学院研究生院,北京 100039;3. 中国科学院沈阳自动化研究所,沈阳 110016)
  • 出版日期:2011-01-20 发布日期:2011-01-25
  • 作者简介:贾朱植(1978-),女,讲师、硕士,主研方向:数字水印技术;祝洪宇,讲师、博士研究生;程万胜,副教授、博士
  • 基金资助:

    国家 “863”计划基金资助项目(2007AA041501);国家重点实验室开放基金资助项目(SKLRS200702)

Adaptive Blind Watermark Algorithm Based on Lifting Wavelet Transform

JIA Zhu-zhi 1a, ZHU Hong-yu 1b,2,3 , CHENG Wan-sheng 1b   

  1. (1a. School of Higher Vocational and Technology; 1b. School of Electronic and Information Engineering, Liaoning University of Science and Technology, Anshan 114051, China; 2. Graduate School of Chinese Academy of Sciences, Beijing 100039, China; 3. Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 1l0016, China)
  • Online:2011-01-20 Published:2011-01-25

摘要:

提出一种基于提升小波变换的自适应盲水印算法。该算法将水印新猫变换置乱加密,把原图像提升小波分解,并对对应位置的 3个高频系数排序,将最大值和最小值分成2Q-1个区间,当嵌入的信息不同时,使特征值处于不同区间。根据特征值所处的位置,实现盲水印提取。实验结果表明,该算法在各种攻击下具有较强的鲁棒性和可识别性。

关键词: 盲水印, 提升小波变换, 置乱

Abstract:

This paper proposes a kind of adaptive blind watermark algorithm based on lifting wavelet transform. The watermark is encrypted through new arnold transform, and the original image is decomposed through lifting wavelet transform. Three high frequency coefficients of corresponding locations in the same level are sorted, and come into being a section between the maximum and the minimum which is divided into 2Q-1 sub-sections. The eigenvalue is in the different sub-zone, when the information embedded is different. The watermark can be extracted according to the locations of eigenvalue. This is a kind of blind watermark extracting method. Experimental result shows that this algorithm has a good robustness and recognizable character under many kinds of assaults.

Key words: blind watermark, lifting wavelet transform, shuffling

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