Component Fusion Image Encryption Method Based on Hybrid Chaotic Model
Shuiqing Xiao, Songbo Wang, Caihong Ye, Yuan Gao · Journal of Advanced Computational Intelligence and Intelligent Informatics · 2019
The current image encryption method is relatively simple, and there is the problem of poor image encryption effect. Based on the hybrid chaotic model, an image encryption method with component fusion is proposed in this paper. The image is mapped by using Arnold cat mapping method. Chaotic sequence is generated by chaotic model, and the original image is scrambled and substituted to achieve image encryption. Through the fixed point ratio, information entropy, gray mean change value, autocorrelation and similarity, the test of encrypted image is completed. Experimental results show that the proposed image encryption method has good performance, high security intensity, and can effectively encrypt the image.