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Color image encryption using random transforms, phase retrieval, chaotic maps, and diffusion
DOI:10.1016/j.optlaseng.2017.11.005.png)
Abstract
En 中文
The recent tremendous proliferation of color imaging applications has been accompanied by growing research in data encryption to secure color images against adversary attacks. While recent color image encryption techniques perform reasonably well, they still exhibit vulnerabilities and deficiencies in terms of statistical security measures due to image data redundancy and inherent weaknesses. This paper proposes two encryption algorithms that largely treat these deficiencies and boost the security strength through novel integration of the random fractional Fourier transforms, phase retrieval algorithms, as well as chaotic scrambling and diffusion. We show through detailed experiments and statistical analysis that the proposed enhancements significantly improve security measures and immunity to attacks. (C) 2017 Elsevier Ltd. All rights reserved.
Keywords:
Discrete fractional Fourier transform
Random transforms
Color image encryption
Chaotic maps
Phase retrieval
Chaotic diffusion
Spectral decomposition
Journal
IF:
3.7
Papers:
7.2K
Citations:
1.7W

