助手标题  
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
   有意义字符串 的翻译结果: 查询用时:0.192秒
图标索引 在分类学科中查询
所有学科
更多类别查询

图标索引 历史查询
 

有意义字符串
相关语句
  meaningful watermarks
     8. An invisible image watermarking algorithm for embedding meaningful watermarks is proposed.
     8.提出了一个嵌入有意义字符串的图象隐形水印算法。
短句来源
     In this paper,we apply the theory and methods in digital communication to watermark embedding and propose an invisible image watermarking algorithm in DCT domain for embedding meaningful watermarks.
     本文应用数字通信的理论和方法 ,提出了一个嵌入有意义字符串的DCT域隐形水印算法 .
短句来源
  相似匹配句对
     8. An invisible image watermarking algorithm for embedding meaningful watermarks is proposed.
     8.提出了一个嵌入有意义字符串的图象隐形水印算法。
短句来源
     Research of String Matching Techniques
     字符串匹配技术研究
短句来源
     Packed Character String Sorting
     紧缩字符串排序法
短句来源
     In this paper,we apply the theory and methods in digital communication to watermark embedding and propose an invisible image watermarking algorithm in DCT domain for embedding meaningful watermarks.
     本文应用数字通信的理论和方法 ,提出了一个嵌入有意义字符串的DCT域隐形水印算法 .
短句来源
     On the Meaningful Learning of Mathematics Problem Solving
     数学解题的有意义学习
短句来源
查询“有意义字符串”译词为用户自定义的双语例句

    我想查看译文中含有:的双语例句
例句
没有找到相关例句


Invisible image watermarking is an effective method to provide protection for copyright ownership of digital media.Most image watermarking algorithms use pseudo random sequences as watermarks and so they can only give the answer of “Yes” or “No”.Embedding meaningful watermark is important in some applications but results in more difficulties.There are two problems in embedding meaningful watermark as follows:(1) the embedded watermark must have a certain bit rate.And (2) the embedded watermark must be detected...

Invisible image watermarking is an effective method to provide protection for copyright ownership of digital media.Most image watermarking algorithms use pseudo random sequences as watermarks and so they can only give the answer of “Yes” or “No”.Embedding meaningful watermark is important in some applications but results in more difficulties.There are two problems in embedding meaningful watermark as follows:(1) the embedded watermark must have a certain bit rate.And (2) the embedded watermark must be detected correctly from possibly distorted watermarked image.In this paper,we apply the theory and methods in digital communication to watermark embedding and propose an invisible image watermarking algorithm in DCT domain for embedding meaningful watermarks.The algorithm reduces error probabilities of detection by exploiting BCH code and matched filtering.With the proposed algorithm,we embed a meaningful watermark composed of 32 characters into an image of 256×256 and the watermark thus generated is robust.The watermark can be detected with zero error probability even if the quality of watermarked image is as poor as 26 dB in PSNR after corrupted by additive Gaussian noise.

图像隐形水印是解决数字媒体版权保护的有效手段 .目前的大多数水印算法采用伪随机序列构成水印 ,因而只能给出“Yes”(有水印 )或“No”(无水印 )的回答 .嵌入有意义的水印在一些应用场合更加重要 ,但同时也带来了更多的困难 .嵌入有意义的水印必须解决二个问题 :(1)嵌入的水印具有一定的数据量 ;(2 )从有失真的水印图像中正确地提取嵌入的水印 .本文应用数字通信的理论和方法 ,提出了一个嵌入有意义字符串的DCT域隐形水印算法 .该算法采用BCH编码和匹配滤波来降低误码率 .应用所提出的算法 ,把一个 32个字符组成的水印嵌入到 2 5 6× 2 5 6的图像中并达到了较好的稳健性 .在水印图像信噪比受Gaussian加性噪声干扰下降到 2 6dB时 ,仍实现了对嵌入水印零错误概率的检测 .

A watermarking algorithm in DWT domain is proposed. The proposed algorithm hides data as many as 536 bits in 512×512×8 bits images. And no original images are required in watermark signals' extraction. By means of BCH coding, 2-D interleaving, template, and registration of the width and height of the original image technology, the algorithm is robust against the common signal processing procedures as well as some geometric attacks of StirMark 3.1, such as aspect ratio variation, jitter, rotation, scaling, etc....

A watermarking algorithm in DWT domain is proposed. The proposed algorithm hides data as many as 536 bits in 512×512×8 bits images. And no original images are required in watermark signals' extraction. By means of BCH coding, 2-D interleaving, template, and registration of the width and height of the original image technology, the algorithm is robust against the common signal processing procedures as well as some geometric attacks of StirMark 3.1, such as aspect ratio variation, jitter, rotation, scaling, etc.

提出了一个基于小波变换的有意义图像水印算法。该算法在 5 12× 5 12× 8bits图像上嵌入了一个 5 36bits的有意义字符串 ,水印检测时不需要原始图像 ,并借助于模板、登记图像的大小、纠错编码和二维交织技术 ,水印不但可以对抗一般的信号处理 ,还可以抵抗缩放、改变长宽比、伴随着剪裁的旋转和随机去行去列等几何攻击。

This paper provides an algorithm of mending LBS based on space domain techniques his.With the visual trait,the character string were in low bit.When detect the digital watermark,we use the information's statistic trait.The method's will be advanced.The experimental results demonstrate that the watermarks generated with the proposed algorithm are invisible and Robust against commonlyused image processing techniques.

本文提出一种基于空域技术和LBS改进算法,利用人类的视觉特性设计了一种将一串有意义的字符串水印信息隐藏于位图数据的低位,经过将信息循环嵌入提高了水印的稳定性,从而改进了传统LBS算法的稳健性差的缺点.实验结果表明,应用所提出的算法实现的水印对各种图像处理具有很好的稳健性.

 
图标索引 相关查询

 


 
CNKI小工具
在英文学术搜索中查有关有意义字符串的内容
在知识搜索中查有关有意义字符串的内容
在数字搜索中查有关有意义字符串的内容
在概念知识元中查有关有意义字符串的内容
在学术趋势中查有关有意义字符串的内容
 
 

CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社