首页 | 本学科首页   官方微博 | 高级检索  
     

水印能量估计的一般性框架
引用本文:刘瑞祯,谭铁牛.水印能量估计的一般性框架[J].计算机学报,2001,24(3):242-246.
作者姓名:刘瑞祯  谭铁牛
作者单位:中国科学院自动化研究所
基金项目:国家杰出青年基金! (5 982 5 10 5 ),中国科学院百人计划项目资助
摘    要:数字图像水印技术为网络环境下多媒体数据的传输提供了一个有效的版权保护方案 ,当前大多数的水印算法均利用实验来确定嵌入的水印的最佳能量。该文提出了一个一般性的水印算法框架,可以从理论上计算需嵌入水印的最佳容量或能量,对基于酉变换域方法的数字水印算法而言,该框架可以作为一个有用的指导方法。

关 键 词:数字水印  版权保护  图像处理  水印能量估计  小波变换
修稿时间:1999年9月3日

A General Watermarking Framework for Optimal Energy Estimation
LIU Rui,Zhen,TAN Tie,Niu.A General Watermarking Framework for Optimal Energy Estimation[J].Chinese Journal of Computers,2001,24(3):242-246.
Authors:LIU Rui  Zhen  TAN Tie  Niu
Abstract:Digital watermarking has been proposed as a solution to the problem of copyright protection of multimedia documents in network environments. Most of the current image watermarking schemes is based on unitary transforms, such as discrete cosine transform, discrete Fourier transform and discrete wavelet transform, etc. In general an effective watermarking scheme should satisfy the following two requirements: imperceptibility and robustness. It can be seen that the two requirements are in fact contrary to each other. For a particular watermarking scheme, we have to consider the trade off between imperceptibility and robustness. Thus how to determine the optimal watermark energy or capacity inserted into the original documents should be solved according to some evaluation criteria (such as the commonly used Peak Signal to Noise Ratio PSNR and Signal to Noise Ratio SNR). In this paper we addressed the issue of how to evaluate the energy and capacity of the inserted watermark. We define the two dimensional discrete unitary transform. Under the assumption of the transform, the digital watermarking is done in the unitary transform domain and the additive watermark embedding model is defined (which is adopted by many current watermarking schemes). Thus, given the permitted threshold of visual quality metrics (especially the most popular measurement PSNR and SNR), we can determine the best energy or capacity to be added to the original image. The estimation formula is given upon the assumption of unitary transforms and additive embedding models. Finally, we discuss two general watermark types (normal Gaussian white noise and binary noise) in our experiments to illustrate the correctness of the theoretical results. From the experimental results, we can see that the theoretical values are consistent with the experiments.
Keywords:digital watermarking  capacity and energy estimation  general watermarking framework
本文献已被 CNKI 维普 万方数据 等数据库收录!
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