Computational Holography-Based Information Hiding in Halftone Images

This project focuses on information hiding in halftone images using computational holography principles. We implement this technique in MATLAB specifically designed for digital watermarking applications. The technology enables embedding information within images for copyright protection and authentication purposes. By embedding digital watermarks, we can encode identification codes or other relevant data into images for future recognition and verification. The MATLAB implementation involves several key algorithms: halftone conversion using error diffusion methods (such as Floyd-Steinberg algorithm), hologram generation through Fourier transform operations, and information embedding using phase modulation techniques. The implementation includes functions for both watermark embedding and extraction processes, ensuring reversible data hiding capability. This project explores the fundamental principles of holographic image processing and their practical applications, aiming to enhance image security and anti-counterfeiting capabilities. The code structure includes modules for image preprocessing, hologram synthesis, and watermark robustness testing against common image processing operations like compression and filtering.