Color Image Encryption and Decryption using the Chaotic Lorenz Map and 3D Chaotic Chen System with Enhanced Performance

Abstract

This paper aims to improve efficiency in terms of processing time of color image encryption and decryption using the chaotic Lorenz 3D and Chen 3D systems. Encrypting and decrypting high-resolution color images pose a challenge due to long execution times. To address this issue, we integrate the Huffman compression technique with the chaotic Lorenz 3D and Chen 3D systems. By compressing the image prior to the encryption process, the proposed scheme significantly reduces image size, leading to acceleration of the encryption and decryption running times. On top of that, Huffman compression also enhances security by generating more random patterns. Experimental results demonstrate that the proposed approach effectively reduces processing time, contributing to a more secure and efficient cryptographic system.