Parallel Mixed Image Encryption and Extraction Algorithm Based on Compressed Sensing

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.

Automated summary

This paper proposes a secure and efficient encryption and separation algorithm based on mixed images, utilizing chaotic systems and compressed sensing to expand the key space, achieve parallel transmission, improve data processing speed, and realize restoration and effective separation of images.