In this paper, we propose a novel image encryption method based on logistic chaotic systems and deep autoencoder. In the encryption phase, first, the plaintext image is randomly scrambled by a logistic chaotic system. Then, the random scrambled image is encoded by a deep autoencoder to generate the ciphertext image. In order to obtain the ciphertext image with uniform distribution, we incorporated the uniform distribution constraint into the training of the deep autoencoder. The resulting ciphertext image contains high randomness, which is critical for an excellent image encryption algorithm. Histogram analysis, information entropy analysis, key space analysis, key sensitivity analysis, correlation analysis, and ablation experiments show that the proposed encryption algorithm can effectively resist attacks and has excellent encryption performance while providing high security.

在本文中，我们提出了一种基于逻辑混沌系统和深度自编码器的新型图像加密方法。在加密阶段，首先，明文图像被一个逻辑混沌系统随机加扰。然后，随机加扰的图像由深度自动编码器编码以生成密文图像。为了获得均匀分布的密文图像，我们在深度自编码器的训练中加入了均匀分布约束。生成的密文图像具有很高的随机性，这对于优秀的图像加密算法至关重要。直方图分析、信息熵分析、关键空间分析、关键敏感性分析、相关分析、