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图像置乱度评估的层次分析法

DOI: 10.11834/jig.20140607

Keywords: 图像置乱评估,层次分析法,置乱矩阵,理想均匀分布

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Abstract:

目的针对目前置乱度评估算法对同一图像置乱算法的评价结果存在多变性,对多个置乱算法不能同时评估的问题,提出基于层次分析法的图像置乱评估算法。方法首先,计算置乱矩阵元素分布的均匀性和随机性程度,获得置乱像素位置分布的属性值,保证了同一置乱算法置乱度的恒定性。然后应用层次分析法,实现置乱度2维属性的整合和多个置乱算法的同时评估。结果实验结果表明,该算法得到的置乱度只与置乱算法本身和置乱迭代次数相关,和置乱对象无关,结果具有稳定性和有效性,同时算法可给出任意数目置乱算法的置乱度排序。结论本文算法实现了客观、公平、高效的图像置乱度评估,不仅有利于信息隐藏领域设计者方便快速选择合适的置乱算法,同时也为置乱算法的开发提供了有力的反馈工具。

References

[1]  Bourbakis N, Alexopoulos C. Picture data encryption using scan patterns[J]. Pattern Recognition, 1992, 25(6): 567-581.
[2]  Ye G D. Scrambling encryption algorithm of pixel bit based on chaos map[J]. Pattern Recognition Letters, 2010, 31(5): 347-354.
[3]  Wang X Y, Teng L, Qin X. A novel color image encryption algorithm based on chaos[J]. Signal Processing, 2012, 92(2): 1101-1108.
[4]  Lin K T. Information hiding based on binary encoding methods and pixel scrambling techniques[J]. Applied Optics, 2012, 49(2): 220-228.
[5]  Rahman S M M, Hossain M A, Moufta H, et al. Chaos-cryptography based privacy preservation technique for video surveillance[J]. Multimedia Systems, 2012, 18(2): 145-155.
[6]  Bai S, Cao C X. Research of image scrambling degree[C]//Workshop of 3rd China Information Hiding. Xi\'an, China: Xidian University Press, 2001, 9: 75-81. [柏森, 曹长修. 图像置乱程度研究[C]//全国第三届信息隐藏全国学术研讨会. 西安: 西安电子科技大学出版社, 2001, 9: 75-81.]
[7]  Bai S, Liao X F, Chen J Y, et al. Research on image scrambling degree evaluation method[C]//Proceedings of Information Systems and Signal Processing. Changchun, China: SPIE, 2005, 6041: 60410E(1-5).
[8]  Feng X G, Zhou Q. A novel scrambling degree rule of digital image based on center of mass[J]. Journal of Electronics & Information Technology, 2008, 30(11): 2684-2687. [冯新岗, 周诠. 基于质心的数字图像置乱度衡量准则[J]. 电子与信息学报, 2008, 30(11): 2684-2687.]
[9]  Fu A Y, Zeng Q W, Xu Z H, et al. Binary image scrambling evaluation method based on the mean square deviation and the bipartite graph[C]//International Symposium on Computer, Communication, Control and Automation. Tainan, Taiwan, China: IEEE Computer Society, 2010, 1: 237-239.
[10]  Li Z W, Yang X Y. A new measure of image scrambling degree based on statistical hypothesis testing[C]//Proceedings of the 3rd International Congress on Image and Signal Processing. Yantai, China: IEEE Computer Society, 2010, 5: 2409-2413.
[11]  He C X, Tian S H. Digital image scrambling degree evaluation method based on frequency of gray levels[J]. Journal of Image and Graphics, 2010, 15(2): 220-228. [贺楚雄, 田绍槐. 基于灰度级出现频数的数字图像置乱程度衡量方法[J]. 中国图象图形学报, 2010, 15(2): 220-228].
[12]  Liu J S, Zhu C Y, Wang Y M, et al. Image scrambling effect evaluation method based on position correlation[J]. Computer Engineering, 2010, 36(24):208-210. [刘家胜, 朱灿焰, 汪一鸣, 等. 基于位置相关性的图像置乱效果评价方法[J].计算机工程, 2010, 36(24): 208-210.]
[13]  Zhang H X, Lv H, Weng X J. Image scrambling degree valuation method based on information entropy[J]. Journal of Circuits and Systems, 2007, 12(6): 95-98. [张华熊, 吕辉, 翁向军. 基于信息熵的图像置乱程度评价方法[J]. 电路与系统学报, 2007, 12(6): 95-98.]
[14]  Li X J. A new measure of image scrambling degree based on grey level difference and information entropy[C]//Proceedings of International Conference on Computational Intelligence and Security. Suzhou, China: IEEE Computer Society, 2008, 1: 350-354.
[15]  Thomas L S. A scaling method for priorities in hierarchical structures[J]. Journal of Mathematical Psychology, 1977, 15(3): 234-281.
[16]  Ding W, Qi D X. Digital image transformation and information hiding and disguising technology[J]. Chinese Journal of Computers, 1998, 21(9):838-843. [丁玮, 齐东旭. 数字图像变换及信息隐藏与伪装技术[J]. 计算机学报, 1998, 21(9): 838-843.]
[17]  Lian S, Sun J, Wang Z. A block cipher based on a suitable use of chaotic standard map[J]. Chaos Solitons & Fractals, 2005, 26:117-129.
[18]  Cao G H, Hu K. Image scrambling algorithm based on chaotic weighted sampling theory and sorting transformation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(1): 67-72. [曹光辉, 胡凯. 基于混沌序列加权抽样和排序变换的图像置乱[J]. 北京航空航天大学学报, 2013, 39(1): 67-72.]

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