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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Research on image selective encryption and compression algorithm under hyperchaotic system
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Research on image selective encryption and compression algorithm under hyperchaotic system

机译：超混沌系统图像选择性加密和压缩算法研究

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摘要

At present, special domain image encryption and compression algorithms have problems such as poor encryption and image compression, long time consuming of encryption and compression, and no guarantee of image compression quality. In this regard, this paper proposes an encryption and compression algorithm for spatial domain image selection based on hyperchaotic system. The hyperchaotic Chen system is selected to decompose the dynamics of the hyperchaotic system. The decomposition result is replaced by image scrambling, and the chaotic sequence output from the hyperchaotic Chen system is preprocessed. The two groups of sequences are used to complete the image scrambling so that the image is encrypted for the first time. The discrete cosine basis is applied to make sparse representation of the original image after scrambling. The partial Hadamard matrix, which is controlled by the Logistic chaotic map, is used as the measurement matrix in the compressed sensing, and the two-dimensional projection measurement of the image is done to complete the image compression. The hyperchaotic Chen system is used to cyclically shift the projection results to change the pixel value of the image, and the final cipher image is obtained. The experimental results show that the algorithm anti-attack coefficient is 0.99, the average compression time is 7 s, and the compressed image has high resolution and strong confidentiality. The proposed algorithm is superior to the current algorithm in security and other performance, and can provide support for this field.
机译：目前，特殊的域图像加密和压缩算法具有诸如较差的加密和图像压缩等问题，加密和压缩很长，并且无法保证图像压缩质量。在这方面，本文提出了一种基于超色度系统的空间域图像选择的加密和压缩算法。选择超色康系统以分解超混沌系统的动态。分解结果由图像加扰代替，并且预处理的超声陈系统输出的混沌序列输出。两组序列用于完成图像加扰，使得图像首次加密。离散余弦基础用于在加扰后造成原始图像的稀疏表示。由逻辑混沌映射控制的部分Hadamard矩阵用作压缩感测中的测量矩阵，并且完成图像的二维投影测量以完成图像压缩。超速陈系统用于循环地移位投影结果以改变图像的像素值，并且获得最终密码图像。实验结果表明，该算法防攻系数为0.99，平均压缩时间为7秒，压缩图像具有高分辨率和强机密度。该算法优于当前的安全性和其他性能算法，可以为此字段提供支持。

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