MATLAB Source Code for Image Encryption and Decryption

Image encryption and decryption MATLAB source code represents a crucial technology for protecting image information security. This implementation utilizes cryptographic algorithms to transform images into encrypted formats, ensuring only authorized users can access the original content through proper decryption. The source code package includes test images (featuring the standard Lena image), encrypted images, and decrypted results, which serve to validate algorithm correctness and effectiveness through comparative analysis. The technology finds extensive applications in safeguarding personal privacy, commercial secrets, and national security concerns. The MATLAB implementation typically involves key functions such as imread() for image input, cryptographic transformation algorithms (like AES or custom pixel manipulation), and imshow()/imwrite() for result visualization and storage. Code structure generally includes preprocessing modules, encryption cores with key generation, and decryption modules with inverse transformations. By employing this MATLAB source code, users can enhance image information protection through programmable security measures, guaranteeing that only authorized personnel can access and utilize sensitive visual data. The implementation demonstrates practical approaches to spatial-domain or frequency-domain transformations, with performance metrics including encryption efficiency and resistance to common attacks.