Yu Jiayin, Li Chao, Song Xiaomeng, Guo Shiyu, Wang Erfu
Electrical Engineering College, Heilongjiang University, Harbin 150080, China.
Entropy (Basel). 2021 Feb 25;23(3):278. doi: 10.3390/e23030278.
In the actual image processing process, we often encounter mixed images that contain multiple valid messages. Such images not only need to be transmitted safely, but also need to be able to achieve effective separation at the receiving end. This paper designs a secure and efficient encryption and separation algorithm based on this kind of mixed image. Since chaotic system has the characteristics of initial sensitivity and pseudo-randomness, a chaos matrix is introduced into the compressed sensing framework. By using sequence signal to adjust the chaotic system, the key space can be greatly expanded. In the algorithm, we take the way of parallel transmission to block the data. This method can realize the efficient calculation of complex tasks in the image encryption system and improve the data processing speed. In the decryption part, the algorithm in this paper can not only realize the restoration of images, but also complete the effective separation of images through the improved restoration algorithm.
在实际的图像处理过程中，我们经常会遇到包含多个有效信息的混合图像。这类图像不仅需要安全传输，还需要在接收端能够实现有效分离。本文基于这种混合图像设计了一种安全高效的加密与分离算法。由于混沌系统具有初始敏感性和伪随机性的特点，将一个混沌矩阵引入到压缩感知框架中。通过利用序列信号来调整混沌系统，可以大大扩展密钥空间。在该算法中，我们采用并行传输的方式对数据进行分块。这种方法能够在图像加密系统中实现复杂任务的高效计算，并提高数据处理速度。在解密部分，本文算法不仅能够实现图像的恢复，还能通过改进的恢复算法完成图像的有效分离。
