首页 | 本学科首页   官方微博 | 高级检索  
     

最小均方预测高容量无损水印方案
引用本文:冯国瑞,钱振兴,戴宁街.最小均方预测高容量无损水印方案[J].光电子.激光,2011(6):911-915.
作者姓名:冯国瑞  钱振兴  戴宁街
作者单位:上海大学通信与信息工程学院;;上海大学通信与信息工程学院;;上海大学通信与信息工程学院;
基金项目:上海市自然科学基金资助项目(09ZR1412400,11ZR1413200);上海市教委创新基金资助项目(10YZ11,11YZ10)
摘    要:提出一种高容量无损水印方法.选择相关性较高的观测集合和预测集合,利用先验知识计算全局优化插值权重系数,恢复全分辨率图像.预测集合与真实图像点的差值,其直方图峰值点可以达到较大高度,通过移位操作隐藏高容量水印,并保持良好的视觉质量.预测算法本身由先验知识解出插值系数,对不同的测试图像,自适应设定插值权重,插值算法能够高度...

关 键 词:无损水印  最小均方估计  子采样  局部插值

A high-capacity lossless watermarking by least mean square estimation
FENG Guo-rui,QIAN Zhen-xing and DAI Ning-jie.A high-capacity lossless watermarking by least mean square estimation[J].Journal of Optoelectronics·laser,2011(6):911-915.
Authors:FENG Guo-rui  QIAN Zhen-xing and DAI Ning-jie
Affiliation:School of Communication and Information Engineering,Shanghai University,Shanghai 200072,China;School of Communication and Information Engineering,Shanghai University,Shanghai 200072,China;School of Communication and Information Engineering,Shanghai University,Shanghai 200072,China
Abstract:We propose a high-capacity reversible watermarking scheme by choosing the observation and estimation sets.After calculating optimal weights through prior knowledge,the better interpolation algorithm is selected to estimate the full-resolution images.The difference between true and estimated images achieves the higher peak of the histogram.Shifting bins can payload the watermarking bits in the reversible way.At the same time,the better quality of image is obtained.Because the interpolation is ada...
Keywords:lossless watermarking  least mean square estimation  subsample  local interpolation
本文献已被 CNKI 等数据库收录!
点击此处可从《光电子.激光》浏览原始摘要信息
点击此处可从《光电子.激光》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号