摘要
针对二值文本图像像素简单、纹理复杂、信息隐藏的免疫力差的特点,提出了一种基于相容粗糙集的数字水印嵌入位置选择方法。该方法把二值文本载体图像划分为不同的等价类。依据图像子块的可非度及块与块之间纹理变化情况将等价类划分为不同的子集,通过属性的组合筛选出适合于水印嵌入块及嵌入位置。最后,选择不同的二值文本图像做仿真实验,图像嵌入后进行JPIG-2压缩,加入高斯噪声,椒盐噪声以及剪切等方法来模仿图像在实际环境下可能遭受到的各种攻击和干扰。实验结果表明,在各种常见情况下,检测器均能有较好的检测效果。
Aiming at the binary text image＇s characteristics of simple pixel, complex texture and bad immunity of information con- cealment, a digital watermarking embedment location choosing method has been put forward based upon compatible roughness class. This method divides binary text image into different equivalence classes. Equivalence classes are further divided into different subclasses according to each pixel＇s degree and texture changes between blocks. Through properties＇ combination, the embedment block and location which are fit for watermarking are screened out. At last, different binary text images are chosen for emulation experiment. When the image is embedded, it is compressed in JPIG-2. Gaussian noise, salt ＆ pepper noise and cutting method etc are added to imitate the actual environment in which images might suffer from various attacks and interferences. The result shows that the detector has a sound testing effect under various conditions.
出处
《微计算机信息》
北大核心
2008年第33期39-40,187,共3页
Control & Automation
关键词
二值文本
相容粗糙集
知识系统
binary text
compatible toughness class
knowledge system
作者简介
牛冀平（1963-），男，湖北黄冈人，博士研究生，副教授，研究方向为计算机图形图像处理，计算机网络技术；
胡志华（1976-），男，博士研究生，讲师，研究方向为计算机图形图像处理。
