华南理工大学学报(自然科学版) ›› 2005, Vol. 33 ›› Issue (4): 29-33.

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基于小波变换和视觉感知特性的盲水印算法

沃焱 韩国强   

  1. 华南理工大学 计算机科学与工程学院,广东 广州 510640
  • 出版日期:2005-04-25 发布日期:2005-04-25
  • 通信作者: 沃焱(1975-),女,博士,主要从事多媒体应用技术研究 E-mail:woyan@seut.edu.en
  • 作者简介:沃焱(1975-),女,博士,主要从事多媒体应用技术研究
  • 基金资助:

    国家自然科学基金资助项目(10171033);广东省自然科学基金资助项目(31340);广州市科技计划项目(2004J1-C0081)

Blind Watermarking Algorithm Based on Wavelet Transformand Visual Perception Characteristics

Wo Yan  Han Guo-qiang   

  1. College of Computer Science and Engineering,South China University ofTechnology,Guangzhou 510640,Guangdong,China
  • Online:2005-04-25 Published:2005-04-25
  • Contact: 沃焱(1975-),女,博士,主要从事多媒体应用技术研究 E-mail:woyan@seut.edu.en
  • About author:沃焱(1975-),女,博士,主要从事多媒体应用技术研究
  • Supported by:

    国家自然科学基金资助项目(10171033);广东省自然科学基金资助项目(31340);广州市科技计划项目(2004J1-C0081)

摘要: 借鉴基于视觉感知特性的图像压缩思想,提出了一种基于小波变换和视觉感知特性的自适应盲水印算法.首先,将载体图像进行小波变换,利用视觉系统的照度掩蔽特性和纹理掩蔽特性把载体小波系数分为9类.其次,对二值水印图像分别进行3次不同的置乱,得到3个随机水印序列.最后依据载体图像小波系数的分类,将3个随机水印序列以不同强度嵌入到3个方向的小波系数中.该算法在抽取水印图像时不需要原始载体图像和原始水印图像.实验结果表明,该算法对裁剪、JPEG压缩、加噪、图像增强、滤波等处理都有很好的抵抗力。

关键词: 盲水印, 小波, 视觉感知特性, 失真阈值

Abstract:

In this paper,an adaptive blind watermarking algorithm based on the wavelet transform and the human visual perception characteristics is proposed by drawing on the concept of the human perception-based image com-pression.In this algorithm ,the carrier image is first decomposed by means of the wavelet transform,and the wave-let coefficients of the image are classified into 9 kinds according to the characteristics of the illumination mask,the
texture mask and the edge mask in the visual system.Then,the bilevel waterm arking image is disaranged for 3 times,thus obtaining three random waterm arking sequences,which,according to the classification of the wavelet coefi cients,are finally embedded into 3 bands of carrier wavelet(‘oeflq(’ients with different intensities.The pro-posed algorithm can detect watermarking images without the help of the original carier images and the original wa· termarking images.Experimental resu lts show that the proposed algorithm is robust enough to some image degrada-tion processes such as cropping,J PE( compression,noise adding,image enhancing and filtering.

Key words: blind waterm arking, waveletlet, visual perception characteristic, distortion threshold