基于块分类和dct域的图像水印算法-----外文翻译.doc
约4页DOC格式手机打开展开
基于块分类和dct域的图像水印算法-----外文翻译,摘要：本文提出了一种基于离散余弦变换（dct）域图像水印算法。图像水印算法有两个阶段：特征嵌入和特征检测。第一阶段，它将一个标识符号嵌入进图像。第二阶段是被公认（已知）的。该算法有两个处理步骤。第一步无疑是选择像素区块并使用参数进行设置，而第二个步骤是将dct系数强制的嵌入在选定的区块内。两种不同的参数规则表明修改dc...
内容介绍
此文档由会员 wanli1988go 发布
摘要：本文提出了一种基于离散余弦变换（DCT）域图像水印算法。
图像水印算法有两个阶段：特征嵌入和特征检测。第一阶段，它将一个标识符号嵌入进图像。第二阶段是被公认（已知）的。该算法有两个处理步骤。第一步无疑是选择像素区块并使用参数进行设置，而第二个步骤是将DCT系数强制的嵌入在选定的区块内。两种不同的参数规则表明修改DCT参数系数出现频率的重要性。第一种方法是将DCT规则嵌入到选定的线性约束内，而第二种方法则是按照所给予的特定参数进行循环检测。上述所提到的水印算法是不能在JGEG压缩和过滤条件下使用的。
Abstract: In this paper we propose an image watermarking algorithm based on constraints in the Discrete Cosine Transform (DCT) domain.
An image watermarking algorithm has two stages: signature casting (embedding) and signature detection. In the first stage it embeds an identifying label in the image. This is recognized in the second stage. The proposed algorithm has two processing steps. In the first step certain pixel blocks are selected using a set of parameters while in the second step a DCT coefficient constraint is embedded in the selected blocks. Two different constraint rules are suggested for the parametric modification of the DCT frequency coefficients. The first one embeds a linear constraint among certain selected DCT coefficients and the second defines circular detection regions according to the given parameters. The watermarks cast by the proposed algorithm
图像水印算法有两个阶段：特征嵌入和特征检测。第一阶段，它将一个标识符号嵌入进图像。第二阶段是被公认（已知）的。该算法有两个处理步骤。第一步无疑是选择像素区块并使用参数进行设置，而第二个步骤是将DCT系数强制的嵌入在选定的区块内。两种不同的参数规则表明修改DCT参数系数出现频率的重要性。第一种方法是将DCT规则嵌入到选定的线性约束内，而第二种方法则是按照所给予的特定参数进行循环检测。上述所提到的水印算法是不能在JGEG压缩和过滤条件下使用的。
Abstract: In this paper we propose an image watermarking algorithm based on constraints in the Discrete Cosine Transform (DCT) domain.
An image watermarking algorithm has two stages: signature casting (embedding) and signature detection. In the first stage it embeds an identifying label in the image. This is recognized in the second stage. The proposed algorithm has two processing steps. In the first step certain pixel blocks are selected using a set of parameters while in the second step a DCT coefficient constraint is embedded in the selected blocks. Two different constraint rules are suggested for the parametric modification of the DCT frequency coefficients. The first one embeds a linear constraint among certain selected DCT coefficients and the second defines circular detection regions according to the given parameters. The watermarks cast by the proposed algorithm
