New color image encryption algorithm based on compound chaos mapping and hyperchaotic cellular neural network

Jinqing Li; Fengming Bai D.V.M.; Xiaoqiang Di

doi:10.1117/1.JEI.22.1.013036

27 March 2013 New color image encryption algorithm based on compound chaos mapping and hyperchaotic cellular neural network

Jinqing Li, Fengming Bai D.V.M., Xiaoqiang Di

Author Affiliations +

Journal of Electronic Imaging, Vol. 22, Issue 1, 013036 (March 2013). https://doi.org/10.1117/1.JEI.22.1.013036

Abstract

We propose an image encryption/decryption algorithm based on chaotic control parameter and hyperchaotic system with the composite permutation-diffusion structure. Compound chaos mapping is used to generate control parameters in the permutation stage. The high correlation between pixels is shuffled. In the diffusion stage, compound chaos mapping of different initial condition and control parameter generates the diffusion parameters, which are applied to hyperchaotic cellular neural networks. The diffusion key stream is obtained by this process and implements the pixels’ diffusion. Compared with the existing methods, both simulation and statistical analysis of our proposed algorithm show that the algorithm has a good performance against attacks and meets the corresponding security level.

Citation Download Citation

Jinqing Li, Fengming Bai D.V.M., and Xiaoqiang Di "New color image encryption algorithm based on compound chaos mapping and hyperchaotic cellular neural network," Journal of Electronic Imaging 22(1), 013036 (27 March 2013). https://doi.org/10.1117/1.JEI.22.1.013036

Published: 27 March 2013

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available