摘要
提出了一种基于奇异值与提升小波的彩色图像水印算法,该方法首先将彩色图像从RGB空间转换到YUV彩色空间,然后对YUV空间中的亮度分量Y进行提升小波变换,提取出低频分量对其进行奇异值(SVD)分解,最后将水印图像的奇异值嵌入到低频分量的奇异值中。仿真结果表明,该算法不仅具有较好的水印不可见性,而且对常规攻击和几何攻击都具有较好的鲁棒性,且算法简单、运行速度快,能够满足实时和快速的水印应用要求;算法采用灰度图像作为水印,增加了嵌入的信息量,在版权保护方面具有一定的应用价值。
This paper proposed a color image digital watermarking algorithm based on SVD and LWT.At first transformed the color image to YUV spatial domain from RGB.Then transformed the luminance component Y of color image in YUV color space with the lifting wavelet,decomposed the coefficients of low frequency by SVD,similarly decomposed the watermark image by SVD and embedded in SVD of the coefficients of low frequency.The simulation results indicate that the algorithm has both good quality for watermarked image invisible and excellent robustness against common attacks and geometric distortion,furthermore algorithm is simple and quick,and it is satisfied with real-time and speediness watermark application.The algorithm uses a gray image as a watermark,increasing embedded information capacity,so it has some practical value for copyright protection.
出处
《计算机应用研究》
CSCD
北大核心
2011年第5期1981-1982,1986,共3页
Application Research of Computers
关键词
奇异值分解
提升小波变换
彩色图像
RGB空间
YUV空间
数字水印
singular value decomposition(SVD)
lifting wavelet transformation(LWT)
color image
RGB spatial
YUV spatial
digital watermark