利用角图傅里叶变换进行彩色图像加密

IF 1 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal of Digital Crime and Forensics Pub Date : 2021-05-01 DOI:10.4018/IJDCF.20210501.OA5
Liu Yang, W. Meng, Xudong Zhao
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引用次数: 0

摘要

本文采用角图傅里叶变换(AGFT)对彩色图像的固有结构进行加密。将图傅里叶变换(GFT)推广到AGFT,证明了它具有角变换和图变换的特性。该方法首先对彩色图像进行DNA序列编码,并在混沌密钥流的控制下进行混淆。其次,采用基于随机游走的稀疏分解对像素进行空间置乱,得到一系列子图像;此步骤可提高加密效率。最后,通过图来反映子图像的固有结构,并将不同子图上的信号变换到具有特定角度参数的AGFT域,使所提方法与原始图像结构相关联,增强了安全性。实验结果表明,该算法能够抵抗各种潜在的攻击,并取得了比现有算法更好的性能。
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Color Image Encryption Using Angular Graph Fourier Transform
In this paper, an angular graph Fourier transform (AGFT) is introduced to encrypt color images with their intrinsic structures. The graph Fourier transform (GFT) is extended to the AGFT and proven to have the desired properties of angular transform and graph transform. In the proposed encryption method, color images are encoded by DNA sequences and confused under the control of chaotic key streams firstly. Secondly, sparse decomposition based on the random walk is applied to scramble pixels spatially, and a series of sub-images are obtained. This step increases encryption efficiency. Finally, the intrinsic sub-image structure is reflected by graphs, and the signals on different subgraphs are transformed into different AGFT domains with particular angular parameters, which makes the proposed method relevant to the original image structure and enhances security. The experimental results demonstrate that the proposed algorithm can resist various potential attacks and achieve better performance than the state-of-the-art algorithms.
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来源期刊
International Journal of Digital Crime and Forensics
International Journal of Digital Crime and Forensics COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
2.70
自引率
0.00%
发文量
15
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