SELF-ADAPTIVE IMAGE ENCRYPTION BASED ON MEMORY CELLULAR AUTOMATA
2011 ◽
Vol 08
(03)
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pp. 227-241
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Keyword(s):
The Self
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Based on memory reversible cellular automata, a new self-adaptive image encryption is proposed in this paper. The self-adaptive encryption is realized by dividing the image data in to equal halves and then encrypting each half of image data using other mutually. We utilize cellular neural network chaotic system as a pseudo-random key sequence generation. Simulation results on some gray level images confirm that the proposed algorithm can be realized easily while guaranteeing high security and sensitivity levels, and other properties such as randomness.