A fast visually meaningful image encryption algorithm based on compressive sensing and joint diffusion and scrambling

This paper introduces a novel Fast Visually Meaningful Image Encryption based on Compressive Sensing and Joint Diffusion and Scrambling (FVMIECJ). Our approach leverages several innovative aspects: First, we employ a novel seven-dimensional (7D) hyper-chaotic system to generate the measurement matrix for Compressive Sensing (CS) and the random sequences essential for subsequent encryption operations. Utilizing this 7D hyper-chaotic system enhances the randomness and security of the image encryption process. Second, we propose a novel joint diffusion and scrambling encryption scheme to improve the security performance of the algorithm further. This algorithm combines different cryptographic techniques to provide robust protection against attacks. Finally, we present an efficient visual image encryption framework for high-speed encryption applications. This framework ensures robust security and delivers exceptional encryption speed, making it suitable for scenarios where fast encryption is required. Through simulations and comparative analysis, FVMIECJ demonstrated outstanding performance in terms of security and speed, making it a promising solution for image encryption applications.