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A digital image scrambling method based on Hopfield neural network

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成果类型:
期刊论文、会议论文
作者:
Tu, Li;Huang, Xuehua
通讯作者:
Tu, L.(tulip1907@163.com)
作者机构:
[Tu, Li; Huang, Xuehua] Department of Computer Science, Hunan City University, Yiyang, Hunan 413000, China
语种:
英文
关键词:
Affine transformations;Arnold transformation;Digital image scrambling;Image restoration algorithms;Image scrambling;JPEG compression;Noise resistance;Nonlinear mappings;Overlapped block;Shear resistances;Space complexity;Cybernetics;Hopfield neural networks;Image reconstruction;Information science;Restoration;Neural networks
期刊:
Lecture Notes in Electrical Engineering
ISSN:
1876-1100
年:
2012
卷:
107 LNEE
页码:
569-575
会议名称:
International Conference on Computer, Informatics, Cybernetics and Applications 2011, CICA 2011
会议时间:
13 September 2011 through 16 September 2011
会议地点:
Hangzhou
ISBN:
9789400718388
机构署名:
本校为第一机构
院系归属:
信息与电子工程学院
摘要:
In order to improve the deficiencies of existing image restoration algorithms and accelerate its speed, through the study of Hopfield neural network, we proposed a digital image scrambling method of nonlinear mapping characteristics, and by using overlapped block technique, the time and space complexity reduced. Compared with the Arnold transformation, Fibonacci transformation, affine transformation and other scrambling methods, this method has better effective on noise resistance, JPEG compression, shear resistance attacking than...

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