JACIII Vol.23 No.1 pp. 119-123
doi: 10.20965/jaciii.2019.p0119

Short Paper:

Component Fusion Image Encryption Method Based on Hybrid Chaotic Model

Shuiqing Xiao, Songbo Wang, Caihong Ye, and Yuan Gao

Business School, Lingnan Normal University
Zhanjiang, Guangdong 524048, China

Corresponding author

May 29, 2018
July 6, 2018
January 20, 2019
hybrid chaotic model, component fusion image, encryption method
Component Fusion Image Encryption Method Based on Hybrid Chaotic Model

The encrypted image

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.

Cite this article as:
S. Xiao, S. Wang, C. Ye, and Y. Gao, “Component Fusion Image Encryption Method Based on Hybrid Chaotic Model,” J. Adv. Comput. Intell. Intell. Inform., Vol.23, No.1, pp. 119-123, 2019.
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Last updated on Feb. 20, 2019