Single-lens Fourier-transform-based optical color image encryption using dual two-dimensional chaotic maps and the Fresnel transform

2017 ◽  
Vol 56 (3) ◽  
pp. 498 ◽  
Author(s):  
Yonggang Su ◽  
Chen Tang ◽  
Biyuan Li ◽  
Xia Chen ◽  
Wenjun Xu ◽  
...  
2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Xingyuan Wang ◽  
Yining Su

Abstract Combining the advantages of structured random measurement matrix and chaotic structure, this paper introduces a color image encryption algorithm based on a structural chaotic measurement matrix and random phase mask. The Chebyshev chaotic sequence is used in the algorithm to generate the flip permutation matrix, the sampling subset and the chaotic cyclic matrix for constructing the structure perceptual matrix and the random phase mask. The original image is compressed and encrypted simultaneously by compressed sensing, and re-encrypted by two-dimensional fractional Fourier transform. Simulation experiments show the effectiveness and reliability of the algorithm.


Entropy ◽  
2018 ◽  
Vol 20 (11) ◽  
pp. 843 ◽  
Author(s):  
Congxu Zhu ◽  
Guojun Wang ◽  
Kehui Sun

This paper presents an improved cryptanalysis of a chaos-based image encryption scheme, which integrated permutation, diffusion, and linear transformation process. It was found that the equivalent key streams and all the unknown parameters of the cryptosystem can be recovered by our chosen-plaintext attack algorithm. Both a theoretical analysis and an experimental validation are given in detail. Based on the analysis of the defects in the original cryptosystem, an improved color image encryption scheme was further developed. By using an image content–related approach in generating diffusion arrays and the process of interweaving diffusion and confusion, the security of the cryptosystem was enhanced. The experimental results and security analysis demonstrate the security superiority of the improved cryptosystem.


2021 ◽  
Vol 137 ◽  
pp. 106392
Author(s):  
Gang Qu ◽  
Xiangfeng Meng ◽  
Yongkai Yin ◽  
Huazheng Wu ◽  
Xiulun Yang ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document