Double Color Image Visual Encryption Based on Digital Chaos and Compressed Sensing

Yuxuan Sun, Lvchen Cao, Wanjun Zhang
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Abstract

Image encryption is an effective way to protect images in secure transmission or storage. In this paper, we propose a novel double color image visual encryption algorithm based on the improved Chebyshev map (ICM) and compressed sensing. Firstly, a new nonlinear term is introduced into the classical one-dimensional Chebyshev map, and then the ICM is used to generate the secret code stream for the encryption algorithm. Next, the key-controlled sensing measurement matrices are constructed through the ICM, and they are used to compress the integer wavelet coefficients of two plain images. Subsequently, the compressed images are dislocated by dislocation matrices and diffused by an ICM-generated diffusion matrix, respectively. Finally, the encrypted images are embedded into the carrier image using the least significant bit embedding algorithm. Experimental results demonstrate that the proposed method has good visual safety, large key space, and high key sensitivity.
基于数字混沌和压缩感知的双色图像视觉加密
图像加密是保护图像安全传输或存储的一种有效方法。本文提出了一种基于改进切比雪夫映射和压缩感知的双色图像视觉加密算法。首先在经典的一维切比雪夫映射中引入一个新的非线性项,然后利用ICM生成加密算法的密码流。其次,通过ICM构造键控传感测量矩阵,并将其用于压缩两幅平面图像的整数小波系数。随后,用位错矩阵对压缩图像进行位错处理,用icm生成的扩散矩阵对压缩图像进行扩散处理。最后,使用最低有效位嵌入算法将加密后的图像嵌入到载体图像中。实验结果表明,该方法具有良好的视觉安全性、较大的按键空间和较高的按键灵敏度。
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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