Image Fundamental Motion Scrambling Method in Uniform Velocity 
Based on Knighttour Transformation

Abstract

Abstract:

Abstract: Welltried scrambling method is important to improve scrambling effectiveness, reduce key management cost and improve the resistance of attacking. In this paper, an image fundamental motion scrambling method was introduced. Firstly, image was divided into part A and part B; Secondly, the swap of pixels of part A and part B was implemented in uniform velocity motion method and pixels of part A was evenly distributed in part B; Lastly, image was scrambled by knighttour transformation in global and local view. The results of experiment show this method can decrease keys with good scrambling effectiveness and antiinterference performance.



Key words:

, Key words: , knight&rsquo, s tour； uniform velocity； image scrambling； information hiding

CLC Number:

TP391.41

XING Yiliang， MA Liang， HAN Baoru， FU Shi.

Image Fundamental Motion Scrambling Method in Uniform Velocity 

Based on Knighttour Transformation[J]. Computer and Modernization, 2014, 0(4): 41-46.

[1]	WAN Yuwen， HUANG Linying， GAN Dengwen. A New Weightbased Association Rules Mining Algorithm [J]. Computer and Modernization, 2014, 0(4): 73-76.
[2]	WANG Shangchao, TANG Xiaochun. A Prioritybased Faulttolerant Task Scheduling Algorithm on Heterogeneous Clusters [J]. Computer and Modernization, 2014, 0(4): 69-72.
[3]	CHEN Huijie, XIE Yixiong. Human Posture Recognition Method Based on Multiple Classifiers [J]. Computer and Modernization, 2014, 0(4): 64-68.
[4]	CAO Jie, YU Xin. Congestion Control Algorithm for WSN in Traffic Information Collection [J]. Computer and Modernization, 2014, 0(4): 59-63.
[5]	LIU Minghui. Multiparty Quantum Secret Sharing Protocol Using Bell Particle [J]. Computer and Modernization, 2014, 0(4): 55-58.
[6]	ZHANG Zhong. Methods of Hooking IAT with Injection DLL into Remote Process [J]. Computer and Modernization, 2014, 0(4): 51-54.
[7]	CHEN Si1， LI Huafeng1， TU Qinghua1， TANG Dongyang2. Nonlocal Disaster Recovery System of Digitized Campus [J]. Computer and Modernization, 2014, 0(4): 47-50.
[8]	CHEN Xiao, WANG Min， TAO Mingyang. Image Geometric Segmentation Method Based on 3D Context [J]. Computer and Modernization, 2014, 0(4): 38-40.
[9]	PAN Yanhong, PAN Lin. Detection of Hard Exudates in Fundus Images Based on SVM [J]. Computer and Modernization, 2014, 0(4): 33-37.
[10]	WU Zhenju. Extraction for Vehicles Contour Based on Stransformation Coupled Canny Operator [J]. Computer and Modernization, 2014, 0(4): 29-32.
[11]	FANG Xue, YU Ruixing. Gridbased Statistical Model for 3D Object Recognition [J]. Computer and Modernization, 2014, 0(4): 24-28.
[12]	YIN Shile， ZENG Zhiyong. An Improved Nystrom Spectral Clustering for Image Segmentation [J]. Computer and Modernization, 2014, 0(4): 20-23.
[13]	WU Ning, GUAN Shengqi, XU Shuaihua. Fabric Defect Detection Based on Periodicity and Local Directivity of Texture Edge [J]. Computer and Modernization, 2014, 0(4): 16-19.
[14]	GONG Dingxi, CAO Changrong. Plant Leaf Classification Based on CNN [J]. Computer and Modernization, 2014, 0(4): 12-15.
[15]	LING Shen， CHEN Guang， HAN Xiuling. Mobile Communication Virtual Experiment Based on 3D MAX and Virtools [J]. Computer and Modernization, 2014, 0(4): 8-11.

Image Fundamental Motion Scrambling Method in Uniform Velocity 
Based on Knighttour Transformation

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments