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Journal of Electronic Imaging

Image encryption using the two-dimensional logistic chaotic map
Author(s): Yue Wu; Joseph P. Noonan; Gelan Yang; Huixia Jin
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Paper Abstract

Chaos maps and chaotic systems have been proved to be useful and effective for cryptography. In our study, the two-dimensional logistic map with complicated basin structures and attractors are first used for image encryption. The proposed method adopts the classic framework of the permutation-substitution network in cryptography and thus ensures both confusion and diffusion properties for a secure cipher. The proposed method is able to encrypt an intelligible image into a random-like one from the statistical point of view and the human visual system point of view. Extensive simulation results using test images from the USC-SIPI image database demonstrate the effectiveness and robustness of the proposed method. Security analysis results of using both the conventional and the most recent tests show that the encryption quality of the proposed method reaches or excels the current state-of-the-art methods. Similar encryption ideas can be applied to digital data in other formats (e.g., digital audio and video). We also publish the cipher MATLAB open-source-code under the web page https://sites.google.com/site/tuftsyuewu/source-code.

Paper Details

Date Published: 23 March 2012
PDF: 16 pages
J. Electron. Imaging. 21(1) 013014 doi: 10.1117/1.JEI.21.1.013014
Published in: Journal of Electronic Imaging Volume 21, Issue 1
Show Author Affiliations
Yue Wu, Tufts Univ. (United States)
Joseph P. Noonan, Tufts Univ. (United States)
Gelan Yang, Hunan City Univ. (China)
Huixia Jin, Hunan City Univ. (China)


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