| 二值图像Arnold变换的最佳置乱度 |
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| 引用本文： | 黄良永,肖德贵.二值图像Arnold变换的最佳置乱度[J].计算机应用,2009,29(2):474-476. |
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| 作者姓名： | 黄良永 肖德贵 |
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| 作者单位： | 1. 湖南大学,计算机与通讯学院,长沙,410082;柳州师范高等专科学校,数学与计算机科学系,广西,柳州,545004
2. 湖南大学,计算机与通讯学院,长沙,410082 |
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| 摘 要： | 以数字水印技术为背景，介绍了基于二值图像Arnold变换置乱和周期性，详细地讨论置乱度，提出了一种图像分块后像素值方差和像素点与4邻域灰度差值相结合的最佳置乱度计算方法。实验结果表明，该最佳置乱度计算方法能很好地反映二值图像的置乱程度并与主观视觉效果相一致。
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| 关 键 词： | 置乱 Arnold变换 置乱度 |
| 收稿时间： | 2008-09-03 |
| 修稿时间： | 2008-10-20 |
The best image scrambling degree of binary image based on Arnold transform |
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| HUANG Liang-yong,XIAO De-gui.The best image scrambling degree of binary image based on Arnold transform[J].journal of Computer Applications,2009,29(2):474-476. |
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| Authors: | HUANG Liang-yong XIAO De-gui |
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| Affiliation: | HUANG Liang-yong1,2,XIAO De-gui1 1.School of Computer , Communication,Hunan University,Changsha Hunan 410082,China,2.Department of Mathematics , Computer Science,Liuzhou Teachers College,Liuzhou Guangxi 545004 |
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| Abstract: | In the context of digital watermark technology, this paper introduced binary image based Arnold transform and periodicity, and discussed the calculation methods of image scrambling degree in detail so that it elaborated the best formula of image scrambling degree with the combination of pixel value variance as well as pixels and 4 differ of the gray-level. The results show that the calculating method of the best image scrambling degree can well reveal the consistency of binary image scrambling degree and subjective visual effects. |
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| Keywords: | image scrambling Arnold transform image scrambling degree |
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