基于奇异值分解的二值图像水印算法

Hu Zhihua
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引用次数: 0

摘要

针对二值文本图像像素简单、纹理复杂、信息隐藏免疫能力差的特点,提出了一种基于奇异值分解的数字水印嵌入位置选择方法。该方法将二值文本图像划分为不同的DCT类。根据每个像素的程度和块间纹理的变化,将等效类进一步划分为不同的DCT子类。通过属性组合,筛选出适合水印的嵌入块和位置。最后,选择不同的二值文本图像进行仿真实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Binary image watermarking algorithm based on Singular Value Decomposition
Aiming at the binary text image's characteristics of simple pixel, complex texture, and bad immunity of information concealment, a digital watermarking embedment location choosing method based upon Singular Value Decomposition has been put forward. This method divides binary text images into different DCT classes. Equivalent classes are further divided into different DCT 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.
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