An Encryption System for Color Image Based on Compressive Sensing and Pixel Adaptive Diffusion Strategy
Dingqin Liu, Shu-Cui Xie, Jing Chong · 2021 4th International Conference on Artificial Intelligence and Pattern Recognition · 2021
An efficient color image encryption scheme based on compressive sensing (CS) and pixel adaptive diffusion strategy is proposed in this paper. A zigzag confusion is utilized to scramble the coefficient matrices, and a four-dimensional (4D) hyperchaotic system is introduced to measure the coefficient matrices to obtain measurement value matrices. Subsequently, the chaotic sequence produced by two-dimensional (2D) Logistic ICMIC cascade map (2D-LICM) is employed for pixel adaptive diffusion. Finally, the elements of measurement value matrices are modified by diffusion to obtain the final cipher image. In this scheme, the initial values and parameters of the chaotic system are calculated by the SHA 512 hash value of color plain image and external keys. Therefore, the proposed encryption algorithm is highly sensitive to the plain image and can resist known-plaintext and chosen-plaintext attacks. The simulation results demonstrate the security and efficacy of the proposed algorithm.