Privacy Image Encryption Algorithm Based on Novel Spatiotemporal Chaotic System
Traditional spatiotemporal chaotic systems,characterized by uneven output distributions and weak chaotic phenomena,are limited in their application to private image encryption.To address this,this paper introduces a novel system,the Henon-Pseudo-Random Scrambling Coupled Map Lattice(PRSCML-Henon).This system,founded on the Henon map and Coupled Map Lattices(CML),employs the Henon map's underlying mapping,with one dimension for output and another as a control signal.Enhancements in randomness and a reduction in the degradation of chaotic system dynamics are achieved by pseudo-random scrambling of the lattices in the PRSCML-Henon system and incorporating the output of Elementary Cellular Automata(ECA)as a disturbance.Exhibiting stronger chaotic characteristics and randomness,the PRSCML-Henon system surpasses both the single Henon map and traditional CML systems.Based on the output sequence of the PRSCML-Henon system,a private image encryption algorithm is designed.Experimental results demonstrate that this algorithm,despite its simplicity,offers superior statistical properties and reliable security compared to existing methods.Additionally,it exhibits robustness and high efficiency,making it highly suitable for private image encryption.