Image Secure Communication Using BELC-CMAC and Chaos Synchronization

This paper combines a BELC (brain emotional learning controller) and a CMAC (cerebellar model articulation control) to form a mixed neural network named as the FCBC (brain emotional learning cerebellar model articulation controller) for chaos synchronization and image secure communication. First, a master-slave 3D Satellite chaotic system is illustrated. Then, its application is applied to image secure communication. A color original image is added to one of the three states of the chaotic system and it can be used as the encoded carrier signal at the transmitter, then the synchronization using the FCBC is used for the decryption at the receiver, so the decoded image is received and the original image can be recovered. Comparisons of the results using different methods are given to show their effectiveness.