MATLAB Implementation of Image Scrambling Based on Arnold Transform

This article presents a MATLAB implementation of image scrambling based on Arnold transformation. Arnold transform is an image processing technique designed for image confusion and scrambling by altering pixel positions and values, creating irreversible changes to the original image. The algorithm enhances image complexity and security, effectively protecting image confidentiality and integrity. The MATLAB implementation demonstrates how to apply periodic Arnold transformations through matrix operations that rearrange pixel coordinates using modular arithmetic. Key functions include image reading using imread(), coordinate transformation calculations, and pixel repositioning through iterative applications of the transformation formula. This program provides practical understanding of Arnold transform principles, including the cyclic nature of transformations and their application in digital image security. Through this implementation, users can learn algorithm implementation techniques in MATLAB and gain comprehensive knowledge about image scrambling methodologies.