Image encryption based on quantum-CNN hyperchaos system and Anamorphic Fractional Fourier Transform
Jinqing Li, Xiaoqiang Di, Xingchen Liu, Xiaodong Chen · 2017
To solve the insufficient of nonlinearity in optical cryptosystems, a new scheme is proposed for optical image encryption based on Quantum Cellular Neural Network(QCNN) hyperchaotic system and Anamorphic Fractional Fourier Transform(AFrFT). The first and the second Chaos Random Phase Masks(CRPM) are generated by QCNN hyperchaotic system. The original image is combined with the first CRPM and then transformed by AFrFT. The encrypted image is obtained by the second CRPM and the second AFrFT. Experimental simulation results show the feasibility, high security and efficiency of our scheme.