SVD-Based Image Watermarking Implementation with MATLAB Code

This MATLAB code implements SVD-based image watermarking, a technique used for copyright protection and source identification of digital images. The algorithm embeds watermark information into host images to track and identify image ownership without authorization. The implementation utilizes Singular Value Decomposition (SVD), a mathematical technique that decomposes a matrix into three component matrices representing image characteristics, watermark information, and underlying image features. The code demonstrates key implementation steps including: - Image reading and preprocessing using MATLAB's imread() function - Matrix decomposition through SVD computation using svd() function - Watermark embedding algorithm that modifies singular values - Watermark extraction process for verification - Image reconstruction and quality assessment Through SVD decomposition and strategic watermark embedding, this implementation achieves both image protection and identification capabilities. The MATLAB code provides a practical framework for learning and experimenting with SVD-based watermarking techniques, featuring clear function definitions and step-by-step procedural comments. Users can modify parameters to study different embedding strategies and evaluate watermark robustness against various attacks.