摘要
为同时提高水印不可见性与鲁棒性,提出一种基于DWT和SVD的改进图像水印算法.先将载体进行小波变换,然后在分块后进行奇异值分解,根据自适应原理选取嵌入数据进行水印嵌入.检测水印不需原图像,属于盲检测算法.实验结果表明,该算法增强了水印鲁棒性,且提取水印精确度更高.与单独块奇异值分解量化法作比较.实验证明,本算法具有更好的优势.
In order to improve the invisibility and robustness of watermark, a new improved image watermarking algorithm based on DWT and SVD was presented. Firstly wavelet transform was adopted on the carrier, then did singular value decomposition after unblocking, embed watermark on chosen data according to the theory of self-adaptive. It was a blind watermarking algorithm. The result of experiments showed that this algorithm enhanced the watermarking robustness and improved the precision. At last, compared with the separate SVD quantization method, it proved that this algorithm had much more advantages.
出处
《哈尔滨理工大学学报》
CAS
北大核心
2009年第5期35-38,共4页
Journal of Harbin University of Science and Technology
基金
黑龙江省教育厅科学技术研究项目(10051054)
黑龙江省科技攻关项目(GC06A129)
关键词
鲁棒水印
小波变换
奇异值分解
块分解
robustness watermark
wavelet transform
singular value decomposition
unblocking
