Research on algorithm of image scrambling degree based on geometric measurement

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (10): 183-185.

• 图形、图像、模式识别 • Previous Articles Next Articles

Research on algorithm of image scrambling degree based on geometric measurement

CHEN Jiayong1，ZHAO Huaixun1，WANG Jingjing2

1.Information & Network Lab of Communication Engineering Department，Engineering College of APF，Xi’an 710086，China
2.Key Lab of Network & Information Security of Armed Police Force，Engineering College of APF，Xi’an 710086，China

Received:1900-01-01 Revised:1900-01-01 Online:2011-04-01 Published:2011-04-01

基于几何测度的图像置乱度算法研究

陈家勇1，赵怀勋1，汪晶晶2

1.武警工程学院通信工程系信息网络实验室，西安 710086
2.武警工程学院电子技术系网络与信息安全武警部队重点实验室，西安 710086

Abstract

Abstract: This paper analyzes several kinds of existing measurement algorithms for the image scrambling degree.Then it proposes an image scrambling degree algorithm based on geometric measurement according to two considerations：distance excursion and direction excursion between the adjacent pixels of the image before scrambling and after scrambling.Finally，through comparison and analysis，it can prove that the algorithm has better properties，such as practicability，validity and advantage etc.

Key words: geometric measurement, scrambling degree, image scrambling

摘要： 分析研究了现有的几种图像置乱度衡量算法，从图像置乱前后相邻像素之间的距离偏移和方向偏移两个方面考虑，提出了基于几何测度的图像置乱度算法；最后通过对比分析，证明该算法具有更好的实用性、有效性与优越性。

关键词: 几何测度, 置乱度, 图像置乱

CHEN Jiayong1，ZHAO Huaixun1，WANG Jingjing2. Research on algorithm of image scrambling degree based on geometric measurement[J]. Computer Engineering and Applications, 2011, 47(10): 183-185.

陈家勇1，赵怀勋1，汪晶晶2. 基于几何测度的图像置乱度算法研究[J]. 计算机工程与应用, 2011, 47(10): 183-185.

[1]	LIANG Ting, LI Min, HE Yujie, HUANG Keyu. Method of improved image scrambling based on Arnold transform [J]. Computer Engineering and Applications, 2013, 49(11): 204-207.
[2]	LU Ping1，DONG Husheng1，MA Xiaohu2. Image scrambling optimization algorithm based on mixed chaos system and bit decomposition [J]. Computer Engineering and Applications, 2011, 47(21): 191-194.
[3]	QI Ke^1，2，ZHANG Da-fang¹，XIE Dong-qing². Evaluation method of image scrambling degree based on texture feature [J]. Computer Engineering and Applications, 2010, 46(8): 174-176.
[4]	LIU Bing，WANG Ke，ZHOU Yong. Novel digital image scrambling method [J]. Computer Engineering and Applications, 2010, 46(6): 181-184.
[5]	WAN Li-hong，SUN Xie-hua，LIN Xu-liang. Research on image scrambling algorithm based on Hilbert curve and Gray code [J]. Computer Engineering and Applications, 2010, 46(34): 184-186.
[6]	TIAN Xiao-ping，WU Cheng-mao. Study on image scrambling degree using singular value decomposition of difference image [J]. Computer Engineering and Applications, 2010, 46(23): 162-165.
[7]	TAN Yong-jie，MA Miao. Image scrambling algorithm based on bit-plane and Gray code [J]. Computer Engineering and Applications, 2010, 46(16): 174-177.
[8]	QIN Zhen¹,YU Hai²,ZHU Zhi-liang². Application of three dimension Rössler system in image encryption [J]. Computer Engineering and Applications, 2009, 45(7): 115-118.
[9]	ZHANG Jian¹，YU Xiao-yang²，REN Hong-e¹. Improved image scrambling algorithm of Arnold Cat transformation [J]. Computer Engineering and Applications, 2009, 45(35): 14-17.
[10]	WANG Yuan-zhi¹，ZHANG Ge-ling²，ZHANG Jian³，SUN Li-quan³. Image scrambling evaluation method of uniform distribution [J]. Computer Engineering and Applications, 2009, 45(34): 155-158.
[11]	TIAN Hong-peng. Image scrambling performance blind evaluation based on grey block analysis [J]. Computer Engineering and Applications, 2009, 45(34): 171-173.
[12]	HUANG Jian，BAI Sen. Effective evaluation method of image scrambling degree [J]. Computer Engineering and Applications, 2009, 45(30): 200-203.
[13]	TAN Yong-jie¹，MA Miao^1，2. Subimage-histogram correlation blind assessment on image scrambling degree [J]. Computer Engineering and Applications, 2009, 45(28): 190-192.
[14]	TIAN Xiao-ping^1，2，WU Cheng-mao^1，2，TAN Tie-niu². Evaluation of image scrambling degree utilizing fuzzy entropy theory [J]. Computer Engineering and Applications, 2009, 45(27): 82-87.
[15]	TIAN Xiao-ping^1,2,WU Cheng-mao^1,2,TAN Tie-niu². Evaluation of image scrambling effect using pulse coupled neural network [J]. Computer Engineering and Applications, 2009, 45(18): 174-178.

Research on algorithm of image scrambling degree based on geometric measurement

基于几何测度的图像置乱度算法研究

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics