计算机应用 ›› 2011, Vol. 31 ›› Issue (08): 2165-2168.DOI: 10.3724/SP.J.1087.2011.02165

• 信息安全 • 上一篇    下一篇

基于小波视觉模型的乘性水印算法

黄儿松1,刘金华2,文汝红3   

  1. 1. 江西师范大学鹰潭学院 信息技术系,江西 鹰潭335000
    2. 电子科技大学 计算机科学与工程学院,成都611731
    3. 宜春学院 物理科学与工程技术学院,江西 宜春336000
  • 收稿日期:2011-01-18 修回日期:2011-04-23 发布日期:2011-08-01 出版日期:2011-08-01
  • 通讯作者: 黄儿松
  • 作者简介:黄儿松(1975-),男,江西贵溪人,副教授,主要研究方向:图像处理、多媒体安全;刘金华(1978-),男,江西贵溪人,博士研究生,主要研究方向:小波分析、数字水印、图像处理;文汝红(1979-),女,江西萍乡人,讲师,硕士,主要研究方向:光信息处理。
  • 基金资助:

    江西省教育厅教研课题项目(JXJG-08-60-2)

Multiplicative watermarking algorithm based on wavelet visual model

Er-song HUANG1,Jin-hua LIU2,Ru-hong WEN3   

  1. 1. Department of Information Technology, Yingtan College of Jiangxi Normal University, Yingtan Jiangxi 335000, China
    2. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu Sichuan 611731, China
    3. Physical Science and Technology College, Yichun University, Yichun Jiangxi 336000, China
  • Received:2011-01-18 Revised:2011-04-23 Online:2011-08-01 Published:2011-08-01
  • Contact: Er-song HUANG

摘要: 虽然小波域加性水印算法具有较好的不可感知性,但其鲁棒性较弱。因此,结合小波域视觉模型,提出了一种基于小波视觉模型的乘性图像水印算法。在水印嵌入过程中,为平衡水印的不可感知性和鲁棒性,以中频子带作为水印嵌入空间,并根据图像的频域敏感度、亮度敏感度、纹理复杂度确定水印的嵌入强度。在水印检测过程中,采用广义高斯分布(GGD)对小波系数的统计特性进行刻画,并通过奈曼—皮尔逊(NP)准则确定水印系统的检测阈值,给出了水印系统的虚警概率和检测概率之间的接收者操作特征(ROC)曲线关系。最后通过实验测试了该算法在抗压缩、叠加噪声、缩放和剪切等攻击时的鲁棒性能。仿真结果表明:该算法具有较好的检测性能以及在抗攻击时具有较强的鲁棒性。

关键词: 数字水印, 广义高斯分布, 小波变换, 视觉模型, 接收者操作特征曲线

Abstract: The additive watermarking algorithm has good imperceptibility, however, the robustness of watermark is poor. As a result, a multiplicative image watermarking method was proposed by combining the visual model in the wavelet domain. In the proposed embedding scheme, the middle-frequency subband acted as the watermark embedding space, which was used to achieve the tradeoff between the imperceptibility and the robustness of watermarking system. Besides, the embedding strength factor was determined by considering the frequency masking, luminance masking and texture masking of host image. In the proposed detection scheme, the probability density function of wavelet coefficients was modeled by the Generalized Gaussian Distribution (GGD), and the watermark decision threshold was obtained by using the Neyman-Pearson (NP) criterion, and the Receiver Operating Characteristic (ROC) curve between the probability of false alarm and the probability of detection was derived. Finally, the robustness of the proposed watermarking was tested when being against common image processing attacks such as JPEG compression, Additive White Gaussian Noise (AWGN), scaling and cropping. The experimental results demonstrate that the proposed method has good detection performance and good robustness.

Key words: digital watermarking, Generalized Gaussian Distribution (GGD), wavelet transform, visual model, Receiver Operating Characteristic (ROC) curve

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