计算机与现代化 ›› 2022, Vol. 0 ›› Issue (04): 115-120.

• 信息安全 • 上一篇    下一篇

改进混沌方程及压缩感知理论图像加密算法

  

  1. (成都信息工程大学通信工程学院(微电子学院),四川成都610225)
  • 出版日期:2022-05-07 发布日期:2022-05-07
  • 作者简介:杜鑫昌(1996—),男,山东聊城人,硕士研究生,研究方向:图像处理与视频通信,E-mail: 1033957346@qq.com; 高瑜翔(1970—),男,四川南充人,教授,硕士生导师,博士,研究方向:无线通信技术与系统,RFID和物联网技术与应用,E-mail: gaoyuxiang@cuit.edu.cn。
  • 基金资助:
    四川省教育厅省属高校创新团队项目(15TD0022)

Improved Image Encryption Algorithm Based on Chaotic Equation and Compressed Sensing Theory

  1. (College of Communication Engineering (College of Microelectronics), Chengdu University of Information Technology, 
    Chengdu 610225, China)
  • Online:2022-05-07 Published:2022-05-07

摘要: 针对传统Logistic混沌系统混沌性能低,生成伪随机序列随机性较差等问题,本文提出一种新的改进Logistic混沌方程,并与Lorenz超混沌系统、压缩感知理论相结合构建一个多混沌图像压缩加密系统。在加密过程中与传统加密算法相结合,进行置乱、扩散操作最终获得密文图像。通过改进的Logistic混沌方程获得随机性能更好的伪随机序列来构造受控测量矩阵,仿真实验表明通过改进的Logistic混沌方程来构造的受控测量矩阵在压缩率为75%的条件下峰值信噪比达到34.26 dB,与传统Logistic混沌方程相比在同等条件下提高约10 dB,并且该算法有较好的抗差分攻击性能,像素改变率(NPCR)与统一平均变化程度(UACI)接近理论值。故本文提出的加密算法具有较好的压缩性、安全性以及信号重建特性。

关键词: 改进Logistic混沌方程, 压缩感知, 多混沌, 图像压缩加密

Abstract: In view of the low chaos performance of the traditional Logistic chaotic system and the poor randomness of generated pseudo-random sequences, in this paper, a new improved Logistic chaotic equation is proposed, and a multi-chaotic image compression and encryption system is constructed by combining Lorenz hyperchaotic system and compressed sensing theory. In the process of encryption, the encryption algorithm is combined with the traditional encryption algorithm to obtain the ciphertext image by scrambling and spreading. The controlled measurement matrix is constructed by using the improved Logistic chaotic equation to obtain a pseudo-random sequence with better random performance. Simulation experiments show that the PSNR of the controlled measurement matrix constructed by the improved Logistic chaotic equation reaches 34.26 dB under the condition of 75% compression ratio, which is about 10 dB higher than that of the traditional Logistic chaotic equation under the same conditions. And the algorithm has a good anti-differential attack performance, pixel change rate (NPCR) and uniform mean change degree (UACI) are close to the theoretical value. Therefore, the encryption algorithm proposed in this paper has good compressibility, security and signal reconstruction characteristics.

Key words: improved Logistic chaos equation, compression perception, multiple chaos, image compression and encryption