摘要
论文提出了一种基于量化的小波域自适应扩频水印。该方法根据小波系数的内在联系和HVS的特点,利用量化将一位水印信息自适应地嵌入到宿主图像的一棵小波树中,提取时通过“多数原则”来恢复水印的位信息,实现了盲检测。实验结果表明:使用该方法的水印有较好的不可感知性和鲁棒性,同时可保证较低的正向错误率(falsepositiverate)。
An adaptive spread spectrum watermarking based on quantization in wavelet domain is described in the pa-per.According to the intrinsic relations of the wavelet coefficients and the characteristics of human visual system(HVS),each watermark bit is embedded into each wavelet tree of host image by quantization.The embedded sequence can be extracted by″majority principles″without restoring to the original unmarked image.The experimental results show that the watermark is invisible as well as robust and extraction keeps the false positive rate enough small.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第26期45-47,共3页
Computer Engineering and Applications
基金
国家部委预研项目资助
关键词
数字水印
量化
扩频
小波变换
Digital watermarking,Quantization,Spread Spectrum,Wavelet transform
