Meaningful color image encryption algorithm based on compressive sensing and chaotic map

Min Liu, G. Ye, Qiuzhen Lin
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引用次数: 1

Abstract

At present, most image encryption algorithms protect the security of the plain images by encrypting them into visually meaningless cipher images similar to noises. However, noise-like images can easily attract the attention of an attacker, thus increasing the risk of being broken. Based on this, a visually meaningful image encryption algorithm based on compressive sensing and chaotic map is proposed in this paper. The proposed image encryption algorithm consists of three steps: compression, encryption and hiding. Here, the compression part uses the compressive sensing technology to compress the plain image. Then, the encryption part transforms the compressed image into a meaningless noise-like image by confusion operation. Finally, the hiding process is to embed the encrypted image into a carrier image to achieve a visual hiding effect and reduce the attention of the attacker to the carrier image. Experimental results and analysis show that the proposed algorithm has satisfactory hiding effect and high-quality information reconstruction and extraction. Especially, the values of PSNR can surpass 30 dB in the tests.
基于压缩感知和混沌映射的有意义彩色图像加密算法
目前,大多数图像加密算法都是将纯图像加密成视觉上没有意义的、类似于噪声的密码图像来保护图像的安全性。然而,类似噪声的图像很容易引起攻击者的注意,从而增加了被破坏的风险。在此基础上,提出了一种基于压缩感知和混沌映射的具有视觉意义的图像加密算法。本文提出的图像加密算法包括压缩、加密和隐藏三个步骤。其中,压缩部分采用压缩感知技术对平面图像进行压缩。然后,加密部分通过混淆运算将压缩后的图像转换成无意义的类噪声图像。最后,隐藏过程是将加密后的图像嵌入到载体图像中,达到可视化的隐藏效果,降低攻击者对载体图像的注意力。实验结果和分析表明,该算法具有良好的隐藏效果和高质量的信息重构和提取。特别是在测试中,PSNR值可超过30 dB。
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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