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Optical image encryption scheme based on quantum cellular neural networks hyperchaotic system

机译:基于量子蜂窝神经网络超声系统的光学图像加密方案

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We propose a new method for optical image encryption using Quantum Cellular Neural Networks (QCNN) hyperchaotic system and fractional Fourier transform. In order to improve the situation of low nonlinear degree in existing optical encryption system, we use QCNN system to encrypt/decrypt the optical image. Due to the hyperchaotic characteristic of QCNN make up the linear feature in traditional double random phase encoding optical encryption technology, our encryption algorithm has a large key space, strong anti-attack capability. In addition, Quantum dots and Quantum Cellular Automata (QCA) as a new type of semiconductor nano-materials have many unique nano-features. The computer simulations are presented to verify the validity of the proposed scheme.
机译:我们提出了一种使用量子蜂窝神经网络(QCNN)超声系统和分数傅里叶变换的光学图像加密方法。 为了提高现有光学加密系统的低非线性程度的情况,我们使用QCNN系统来加密/解密光学图像。 由于QCNN的超谐波特性构成了传统的双随机相位编码光学加密技术的线性特征,我们的加密算法具有大的关键空间,强攻击能力强。 另外,量子点和量子蜂窝自动机(QCA)作为一种新型的半导体纳米材料具有许多独特的纳米特征。 提出了计算机模拟以验证所提出的方案的有效性。

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