The image encryption scheme is easily broken by selected plaintext because of the abundance of image information data, high pixel correlation, and high redundancy. In order to improve security and performance, a modern treatment image encryption algorithm that incorporates genetic simulated annealing, particle swarm optimization and improved quantum chaos framework is suggested. Firstly, the key stream is produced using an enhanced quantum chaotic system. Then the plaintext picture is processed using the selection and cross operations of genetic algorithms. The image is scrambled using the ideal sequence created by the simulated annealing process. Furthermore, the simulated annealing method incorporates the hybrid technique. According to the beginning population's ideal fitness value, the starting temperature is determined. Inertial weight variables of hybrid algorithm are improved to prevent particles from slipping into local optimal during the optimization procedure and to speed up the algorithm's convergence. Global optimal position and Individual optimal position generation are optimized using Metropolis.

Steganography , optimization, hybrid, key, homomorphic