A new image compression-encryption scheme based on compressive sensing & classical AES algorithm

In recent years, many compressive sensing methods have been suggested to encrypt and compress images. However, these algorithms have some flaws in terms of the quality of the reconstructed images, compression ratio value, security performance, and encryption speed. Therefore, in this paper, a new image compression-encryption scheme is proposed based on compressive sensing and the AES-128 algorithm. The sparse coefficients are permuted by a matrix produced each time by the initial variable of the 6D hyperchaotic system to enhance the compression performance of compressive sensing. Additionally, the 6D hyperchaotic system uses two variables to generate the measurement matrix for compressive sensing. Moreover, to increase the security level of the proposed algorithm, the AES algorithm (using ECB mode) is applied to the compressed image where the AES input key is generated by two variables the 6D hyperchaotic system, and each column has its own input key. Experimental and analysis results show that the proposed algorithm has good performance in terms of security, such as large key-space, high sensitivity, statistical attacks, and good compression performance compared to existing algorithms.