计算机应用与软件Issue(10)：321-324,328,5.DOI:10.3969/j.issn.1000-386x.2014.10.078
基于离散傅里叶变换融合双混沌映射的图像加密算法研究
ON IMAGE ENCRYPTION ALGORITHM BASED ON DISCRETE FOURIER TRANSFORMATION INTEGRATING WITH DOUBLING CHAOTIC MAP
摘要
Abstract
Frequency domain encryption very fits most of digital and optical image processing systems,while spatial domain encryption is applicable for image communications.In order to make full use of image encryption advantages in both frequency domain and spatial domain and further improve the security of image encryption system,we propose an image encryption algorithm which is based on discrete Fourier transformation and doubling chaotic map to encrypt frequency and spatial domains of image simultaneously.Firstly,the two-dimensional discrete Fourier transformation is committed to convert the image from the spatial domain to frequency domain,and the improved subsection Tent map is used to scramble the amplitude and phase of the frequency domain respectively;Secondly,the frequency domain of scrambled image is transformed into spatial domain with Fourier inverse transformation to get scrambling encryption image;Finally,the improved Bernoulli displacement map is applied to the scrambling encryption image for diffusion processing.The proposed algorithm is tested on MATLAB simulation platform,simulation experimental results show that the algorithm is highly secure with large key space and has stronger key sensitivity performance,which effectively improves the ability of resisting the chosen plaintext attack.关键词
二维离散的傅里叶变换/分段Tent映射/Bernoulli移位映射/图像加密/抗攻击Key words
Two-dimensional discrete Fourier transformation/Subsection Tent map/Bernoulli displacement map/Image encryption/Anti-plaintext attack分类
信息技术与安全科学引用本文复制引用
芮坤坤..基于离散傅里叶变换融合双混沌映射的图像加密算法研究[J].计算机应用与软件,2014,(10):321-324,328,5.基金项目
安徽省自然科学研究项目（KJ2012Z112）。 （）
