计算机应用 ›› 2012, Vol. 32 ›› Issue (12): 3470-3473.DOI: 10.3724/SP.J.1087.2012.03470

• 信息安全 • 上一篇    下一篇

基于差分统计特性的图像置乱度盲评价线性模型

王聪丽1,2,陈志斌2,薛明晰2,张超2   

  1. 1. 军械工程学院 计算机工程系，石家庄 050003
    2. 军械工程学院 军械技术研究所，石家庄 050003
  • 收稿日期:2012-06-14 修回日期:2012-07-25 发布日期:2012-12-29 出版日期:2012-12-01
  • 通讯作者: 王聪丽
  • 作者简介:王聪丽(1979-)，女，河北定州人，讲师，博士研究生，主要研究方向：信息安全、图像处理;〓陈志斌(1965-)，男，湖南南县人，研究员，博士生导师，博士，主要研究方向：光电探测、红外目标跟踪与识别、图像加密;〓薛明晰(1985-)，男，辽宁沈阳人，助理工程师，博士研究生，主要研究方向：光电探测、图像处理;〓张超(1988-)，男，河北冀州人，助理工程师，硕士研究生，主要研究方向：图像处理、红外目标跟踪与识别。

Linear model for blind evaluation of image scrambling degree based on difference statistic distribution

WANG Cong-li1,2,CHEN Zhi-bin2,XUE Ming-xi2,ZHANG Chao2   

  1. 1. Department of Computer Engineering, Ordnance Engineering College, Shijiazhuang Hebei 050003，China
    2. Ordnance Institute of Technology, Ordnance Engineering College, Shijiazhuang Hebei 050003，China
  • Received:2012-06-14 Revised:2012-07-25 Online:2012-12-29 Published:2012-12-01
  • Contact: WANG Cong-li

PDF

摘要： 当前大部分图像置乱度评价算法均依赖于原始图像，且缺乏科学的数学模型作为基础。在分析置乱图像差分值统计分布特性的基础上，建立了理想置乱图像差分统计分布线性模型，并以此为基础，提出了三种置乱度盲评价算法：斜率绝对差法、差分绝对差法和重叠面积法。实验结果表明：三种算法对于图像差分统计分布有较强的敏感性，且不依赖于原始图像，能客观地评价图像置乱度，与人类视觉系统有着良好的一致性。

关键词: 图像置乱, 置乱度, 盲评价, 图像差分, 线性模型

Abstract: Most of the current approaches to evaluate the degree of image scrambling depend on original images. And there are no scientific mathematical models as their theoretic basis. A linear model for difference statistic distribution of ideal scrambled image was put forward in this paper by analyzing the difference statistic distribution of scrambled image. Furthermore，three methods were presented based on this model to evaluate image scrambling degree. The first one was the absolute difference of slope, the second was the absolute difference of difference, and the third was method of overlapping area. The experimental results indicate that these methods are very sensitive to the statistical distribution of image difference, and they are independent of original image with good agreement with human vision system, so they can achieve blind evaluation for image scrambling degree objectively.

Key words: image scrambling, scrambling degree, blind evaluation, image difference, linear model

中图分类号: 

版权所有 © 2021 四川计算机应用杂志社有限公司
蜀ICP备 05010208 号-3　新出网证(川)字026号
技术支持：北京玛格泰克科技发展有限公司
访问总数：
今日访问：