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Image compression-encryption scheme based on hyper-chaotic system and 2D compressive sensing

机译:基于超混沌系统和二维压缩感知的图像压缩加密方案

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摘要

Most image encryption algorithms based on low-dimensional chaos systems bear security risks and suffer encryption data expansion when adopting nonlinear transformation directly. To overcome these weaknesses and reduce the possible transmission burden, an efficient image compression-encryption scheme based on hyper-chaotic system and 2D compressive sensing is proposed. The original image is measured by the measurement matrices in two directions to achieve compression and encryption simultaneously, and then the resulting image is re-encrypted by the cycle shift operation controlled by a hyper-chaotic system. Cycle shift operation can change the values of the pixels efficiently. The proposed cryptosystem decreases the volume of data to be transmitted and simplifies the keys distribution simultaneously as a nonlinear encryption system. Simulation results verify the validity and the reliability of the proposed algorithm with acceptable compression and security performance. (C) 2016 Elsevier Ltd. All rights reserved.
机译:直接基于非线性变换的大多数基于低维混沌系统的图像加密算法都存在安全隐患,并且会遭受加密数据扩展的困扰。为了克服这些缺点并减少可能的传输负担,提出了一种基于超混沌系统和二维压缩感知的有效图像压缩加密方案。通过测量矩阵在两个方向上测量原始图像,以同时实现压缩和加密,然后通过超混沌系统控制的循环移位操作对所得图像进行重新加密。循环移位操作可以有效地改变像素的值。作为非线性加密系统,拟议的密码系统减少了要传输的数据量,并同时简化了密钥分配。仿真结果验证了所提算法的有效性和可靠性,并具有可接受的压缩和安全性能。 (C)2016 Elsevier Ltd.保留所有权利。

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