摘要
本文提出了一种基于小波变换域的自适应公开水印嵌入方案。方案中结合人类视觉系统的特点,将水印信息自适应地嵌入到小波变换域高频系数中;在水印提取的过程中根据小波高频系数的统计分布特性,利用最大似然(ML)估计法进行检测,不需要原图像。实验表明,该算法有较好的隐蔽性和鲁棒性。
In this paper,we present an adaptive public watermarking scheme based on wavelet transform.To take the HVS characteristics into account, the watermarking information is embedded in the high-frequency coefficients of the wavelet adaptively.According to the statistical distribution characteristics of wavelet high-frequency coefficients,the watermark is extracted by means of the ML method without the original image.Experimental results show that the proposed scheme is robust to several kinds of distortions.
出处
《计算机工程与科学》
CSCD
2004年第11期51-54,58,共5页
Computer Engineering & Science
