A Colour Image Encryption Using Genetic Operators and Generalized Henon Chaotic Mapping
Yuling Luo, Xue Ouyang, Junxiu Liu, Lvchen Cao · 2019
In this paper, a colour image encryption method is proposed on the basis of genetic operators and generalized Henon chaotic mapping. Firstly, the initial values of Henon chaotic mapping are generated based on the plain image. Then, genetic operators are applied for image encryption, which include three operations of selection, crossover, and mutation. The selection operation is performed on the bit-level, which can eliminate the strong correlations between the pixels. The cipher image is finally obtained after crossover and mutation operations. Experimental results show that the proposed method has a large key space, high information entropy, and strong robustness against chosen-plaintext attack, which can be applied for the secure applications.