Research on Application of Image Encryption Technology Based on Chaotic of Cellular Neural Network

This paper gives a brief introduction of the basic knowledge of Cellular Neural Networks and proposes an image encryption algorithm based on Cellular Neural Networks. The algorithm is based on the unique characteristics of Cellular Neural Networks by using a chaotic system of 5-D CNN as the key source. On this basis, The paper puts forward an image pixel scrambling algorithm based on Logistic chaotic sequence, which realize the image encryption. In this paper, encryption algorithms are programmed and stimulated. The results show that encryption image is the characters of higher pixels’ scrambling degree, small correlation between adjacent pixels, strong anti attack, higher security. Subject Categories and Descriptors: C.2.1 [Network Architecture and Design]; E. 3 [Data Encryption]; I.4.10 [Image Representation] General Terms: Image Processing, Encryption Content Processing