A symmetric image encryption algorithm based on mixed linear-nonlinear coupled map lattice
By Yingqian Zhang, Xing-yuan Wang. Information Sciences, 2014
558 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Mathematical Physics
View Paper: https://www.semanticscholar.org/paper/b9c4b5c617b079b6f04bd8a139b906b8dc6fc3ae
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In Computer Vision and Pattern Recognition
- Zhongyun Hua
- Yicong Zhou
- Chunhua Wang
- Hua Chen
- Yueping Li
- Chi-Man Pun
- Xing-yuan Wang
- C. L. Philip Chen
In Mathematical Physics
- Zhongyun Hua
- Yicong Zhou
- Chi-Man Pun
- Xing-yuan Wang
- C. L. Philip Chen
- Chunhua Wang
- Hua Chen
- Yueping Li
Citations in the corpus
- A hyper-chaos-based image encryption algorithm using pixel-level permutation and bit-level permutation (2017, methodology): “For quantity analyses of each key, we calculate variances of histograms to evaluate the uniformity of the distribution of the ciphered image [43].”
- 2D Sine Logistic modulation map for image encryption (2015, methodology): “[40], a symmetric image encryption algorithm based on mixed linear-nonlinear coupled map lattice was proposed by Zhang and Wang [34], and a new 1D chaotic system for image encryption was proposed by Zhou et al.”
- Image encryption using 2D Logistic-adjusted-Sine map (2016, methodology): “Therefore, considering the special properties of digital images, many image encryption schemes were proposed using different kinds of methods, such as chaotic maps [17,26,49], wave perturbations [40], wavelet transform [3,35], and magic cube [7,19].”
- A novel chaotic block image encryption algorithm based on dynamic random growth technique (2015, methodology): “Table 6 indicates that the performance of the proposed algorithm is better than that of Zhang's algorithm [24], Zhu's algorithm [25] or Lian's algorithm [26] when encrypting images two rounds.”