Ping Ping, Feng Xu, Xin Lv, Yingchi Mao, and Rongzhi Qi
Cryptography, image scrambling, life-like cellular automaton
Image scrambling is an effective approach to cover image information. It can disrupt the positions of the image pixels quickly, and images will be unrecognizable and noise-like after scrambling. This paper presents an image scrambling method based on the life-like cellular automata (CA). In the scrambling process, a life-like CA with an initial random configuration is set to run for several generations to obtain scrambling matrices. The restoration process is the reverse process of scrambling. In order to achieve a good diffusion property, we analyse how the scrambling effect is influenced by different CA initial configurations, and give the results of which life-like rules generate the best scrambling effect.
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