Self-Adaptive Image Encryption Algorithm Based on Quantum Logistic Map

This study proposes a self-adaptive image encryption algorithm based on the quantum logistic map. First, initial values are substituted into map an iteration process to generate three random sequences. After preprocessing, new sequences with better randomicity were obtained from generated In particular, correlation coefficients for before and after preprocessing compared determine best model make closer zero. Second, one sequence in scrambling stage is selected respect plain image. The then used perform row-column perturbation Finally, remaining two forward reverse diffusion obtain final cipher Because of dependence image, can frustrate chosen-plaintext known-plaintext attacks. Experimental results show that proposed achieve secure communications.