Image encryption using the two-dimensional logistic chaotic map
By Yue Wu, Gelan Yang, Huixia Jin, Joseph P. Noonan. J. Electronic Imaging, 2012
315 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Mathematical Physics
View Paper: https://www.semanticscholar.org/paper/08a21999737e0689eab1d420f8c873b83c5a7810
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In Computer Vision and Pattern Recognition
In Mathematical Physics
Citations in the corpus
- Image encryption using 2D Logistic-adjusted-Sine map (2016, methodology): “Among the reference papers [5,13,19,24,38,39,41,50], some reported simulation results and some provided source codes.”
- 2D Sine Logistic modulation map for image encryption (2015, methodology): “Because most of data encryption algorithms are stream/block ciphers and a digital image usually has a nature of high information redundancy, using stream/block ciphers to encrypt a digital image may not reach a good encryption performance [31].”
- A new 1D chaotic system for image encryption (2014, methodology): “File Name Image Size proposed algorithm (s) Liao’s algorithm [11] (s) Wu’s algorithm [39] (s) fingerprint.”