A new method of multi color image encryption

Anand Ballabh Joshi, Dhanesh Kumar
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引用次数: 5

Abstract

A new method of multi color image encryption based on fractional discrete Fourier transform (FrDFT) and 3D Arnold chaotic map (ACM) is proposed in this paper. In this method, first three color images are converted into Bayer color images then these Bayer images are taken as red, green and blue components of a true color image. These three Bayer images are horizontally combined into a single complex image matrix then half of the part of this single matrix is considered as real part and other half part is considered as imaginary part and apply 2D FrDFT. After applying 2D FrDFT separate the image matrix into three components and apply 3D ACM on each of these components and combining these three components we get encrypted image. Decryption of the proposed method is same as encryption but in reverse order. Experimental results are done with various images. Key space, key sensitivity analyses are done for the proposed method. Entropy, histogram, MSE, PSNR and correlation analyses are given. These analyses and experimental results show that our method is a strong enough against these statistical attacks.
一种新的多色图像加密方法
提出了一种基于分数阶离散傅里叶变换(FrDFT)和三维阿诺德混沌映射(ACM)的多色图像加密新方法。该方法首先将三幅彩色图像转换为拜耳彩色图像,然后将这些拜耳图像作为真彩色图像的红、绿、蓝分量。将这三幅拜耳图像水平组合成一个单一的复图像矩阵,然后将这个单一矩阵的一半作为实部,另一半作为虚部,并应用二维FrDFT。在应用二维FrDFT将图像矩阵分离成三个分量后,在每个分量上应用三维ACM,并将这三个分量组合在一起就得到了加密图像。该方法的解密与加密相同,但顺序相反。用不同的图像进行了实验。对该方法进行了键空间、键灵敏度分析。给出了熵、直方图、均方差、信噪比和相关分析。这些分析和实验结果表明,我们的方法对这些统计攻击有足够的抵抗力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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