A Digital Image Scrambling Method Based on Hopfield Neural Network

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 107)


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 the above three methods.


Image scrambling Hopfield neural network Overlapped block Image restoration 


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Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  1. 1.Department of Computer ScienceHunan City UniversityYiyang China

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