MATLAB Implementation of Image Encryption using Arnold Scrambling and Logistic Chaotic Sequence for Color Images

This MATLAB-based image encryption program implements secure encryption and decryption operations for color images using Arnold image scrambling algorithm combined with Logistic chaotic sequence generation. The program employs Arnold transformation to scramble pixel positions and uses Logistic chaotic maps to generate pseudo-random sequences for pixel value confusion, ensuring high security and randomness in the encrypted images. Key implementation features include: pixel coordinate transformation through iterative Arnold cat map operations, chaotic sequence generation using the Logistic map equation xₙ₊₁ = μxₙ(1-xₙ) with careful parameter selection, and RGB channel processing for color image encryption. The algorithm provides robust protection for color images against unauthorized access and theft by performing spatial domain scrambling combined with value domain encryption. Designed with user-friendliness in mind, the program features an intuitive interface that allows users with minimal programming experience to easily operate the encryption/decryption functions. Both individual and enterprise users can utilize this encryption solution to safeguard their image data security through this dual-layer protection approach.