Parallel Mixed Image Encryption and Extraction Algorithm Based on Compressed Sensing

Area of Science:

• Computer Science
• Information Security
• Signal Processing

Background:

• Mixed images containing multiple data streams present security and separation challenges in transmission.
• Existing methods may lack efficiency or robust security for complex image data.

Purpose of the Study:

• To design a secure and efficient algorithm for encrypting and separating mixed images.
• To enhance data transmission safety and enable effective image separation at the receiver.

Main Methods:

• A chaos matrix is integrated into the compressed sensing framework, leveraging the chaotic system's properties.
• Sequence signals are used to adjust the chaotic system, expanding the key space.
• Parallel data transmission is employed for efficient processing and improved speed.

Main Results:

• The algorithm provides secure transmission for mixed images.
• It enables efficient separation of multiple valid messages from a single mixed image.
• The parallel transmission approach enhances computational efficiency and data processing speed.

Conclusions:

• The proposed algorithm offers a secure and efficient solution for mixed image encryption and separation.
• The integration of chaotic systems and compressed sensing provides a robust framework.
• The method effectively addresses the challenges of transmitting and separating complex image data.