期刊文献+

图像置乱效果评价算法综述 被引量:2

A Survey of Assessment of Image Scrambling Degree
下载PDF
导出
摘要 图像置乱技术通过对图像矩阵的重排操作,破坏图像矩阵的相关性,从而实现信息加密。图像置乱效果评价方法是对图像置乱程度的客观评价,目前涌现的图像置乱方法都从各个方面验证其自身的优越性,但仍没有一种通用的评判方法。该文根据最优置乱效果的定义,讨论了一些现有的图像置乱效果评判方法,在深入研究这些方法的原理后,对各置乱性能评判方法的客观性进行了深入分析和讨论。 In order to achieve image encryption,image scrambling technology damage to the image correlation matrix,through the re-arrangement of the image matrix operation.Image scrambling evaluation method is an objective assessment to the degree of image scram-bling,and the current image scrambling evaluation method prove their own superiority from all aspects,but still not a common evaluation method.According to the definition of optimal image scrambling degree,this paper gives the key technology of image scrambling assess-ment,and analyses the impersonality of the these algorithms.
出处 《计算机与数字工程》 2012年第4期93-95,112,共4页 Computer & Digital Engineering
基金 周口师范学院青年科研基金项目(zknuqn201036A)资助
关键词 图像置乱 置乱效果 直方图 相关度 信噪比 image scrambling scrambling performance histogram grey relation analysis signal to noise ratio
  • 相关文献

参考文献5

二级参考文献29

共引文献58

同被引文献26

  • 1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. 被引量:23
  • 2徐江峰,杨有.加密图像置乱性能分析[J].计算机科学,2006,33(3):110-113. 被引量:19
  • 3刘廷银,徐佩霞.对折置乱算法及置乱度分析[J].信息安全与通信保密,2006,28(12):188-190. 被引量:2
  • 4张雪锋,范九伦.一种基于混沌系统的数字图像隐藏技术[J].计算机工程,2007,33(4):134-136. 被引量:10
  • 5Arnold V J, Avea A. Ergodic problems of classica mechanics, mathematical Physics monograph series [M]. New York (USA): W A Benjamin Inc, 1968.
  • 6Li Xiongjun. A generalized matrix-based scrambling trans- formation and its properties [ C]//Proceedings of the 9th International Conference for Young Computer Scientists. Huangshan (China): IEEE, 2008: 1429-1454.
  • 7Radharani S, Valarmathi M L. Content based image water- marking scheme using block SVD and Arnold transform [ C ]// International Conference on Electronics and Com- munication Systems ( ICECS ). Coimbatore ( India ) : IEEE, 2014: 1-4.
  • 8Mehta R, Vishwakarma V P, Rajpal N. Lagrangian sup- port vector regression based image watermarking in wavelet domain [ C]//The 2nd International Conference on Signal Processing and Integrated Networks (SPIN). Noida ( In- dia): IEEE, 2015: 854-859.
  • 9Li Xionrun. A new measure of image scrambling degree based on grey level difference and information entropy [ C ]// Proceedings of International Conference on Compu- tational Intelligence and Security. Washington D C: IEEE, 2008, 1:350 -354.
  • 10黄兴,张敏瑞.图像置乱程度的研究[J].武汉大学学报(信息科学版),2008,33(5):465-468. 被引量:13

引证文献2

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部