基于离散分数傅里叶变换和拼图变换的图像加密。案例研究:指纹

J. Vilardy, C. Torres, L. Mattos
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引用次数: 2

摘要

提出了一种基于离散分数阶傅里叶变换和拼图变换的图像加密新方法。该加密方案的主要特点是加密后的图像是真实的,并且与原始图像的大小相同,这使得加密后的图像无论是存储还是在数字通信网络上传输都更加方便。利用拼图变换提高了加密图像的安全性,消除了许多基于分数阶傅里叶变换(FrFT)的图像密码系统中使用的随机相位掩码。最后,针对提出的新加密方法,开发了一种指纹加密数字算法。所实现的密码算法中使用了12个密钥,它们由6个DFrFTs分数阶和拼图变换中使用的6个随机排列组成;所有这些密钥都是正确解密所必需的,从而在保护特定应用程序的指纹方面获得高级别安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Images encryption via Discrete Fractional Fourier Transform and Jigsaw transform. Case study: Fingerprints
A new images encryption method using The Discrete Fractional Fourier Transform (DFrFT) and the Jigsaw transform is proposed. The main feature of this encryption scheme is that the encrypted image is real and has the same size as the original one, being this encrypted image much more convenient for either its storage or its transmission on digital communication networks. Using the Jigsaw transform the security of the encrypted image is increased and the random phase masks used in many images cryptosystems based on Fractional Fourier Transform (FrFT) are eliminated. Finally, for the new proposed encryption method, a fingerprint encryption digital algorithm was developed. There are twelve keys used in the cryptographic algorithm implemented, which are constituted by the six DFrFTs fractional orders and the six random permutations used in Jigsaw transform; all these keys are necessary for a correct decryption, obtaining a high level security in protecting fingerprints for a particular application.
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