A novel remote sensing image encryption scheme based on block period Arnold scrambling

In this paper, a new spatiotemporal chaos model is proposed to improve the security and anti-decryption capability of remote sensing image encryption algorithm. The model is the Hash Arnold Coupled Logistic Map Lattices (HACLML) based on the Arnold Coupled Logistic Map Lattices (ACLML). By introducing hash index chain mapping, the chaotic performance of ACLML is improved significantly. Then, a novel image encryption algorithm is obtained based on the HACLML. In the scrambling stage, a point-to-block encryption method is designed to make the correlation between image pixels fully scrambled. In addition, according to the structure of HACLML and double hash index chain, a diffusion encryption algorithm is designed to further enhance the security of the encrypted image. The security analysis experiments show that the image encryption algorithm based on the HACLML has significant advantages in security, and is suitable for the practical application scenarios such as remote sensing images with high security requirements.