Digital Watermarking Program with Multi-Resolution and Blind Watermarking Techniques

This documentation discusses digital watermarking programs and their associated functionalities and applications. Digital watermarking serves as a crucial technology for protecting and identifying digital content. The program includes multi-resolution watermark embedding capabilities, allowing watermark insertion in images at different resolution levels using wavelet transform techniques. It also contains watermark extraction functions that employ correlation detection algorithms to retrieve watermark information from watermarked images. Additionally, the program implements blind watermarking embedding and extraction processes, which utilize statistical feature extraction methods to embed and detect watermarks without requiring the original image. The system incorporates filter attack and JPEG attack simulation modules that apply various noise filters and compression algorithms to test watermark robustness under different attack scenarios. Furthermore, the program includes PSNR (Peak Signal-to-Noise Ratio) calculation functions using mean squared error metrics and similarity computation formulas employing cross-correlation algorithms to evaluate image quality and watermark visibility. These evaluation metrics are implemented through optimized matrix operations in MATLAB. In summary, this digital watermarking program represents a powerful and widely applicable tool that plays a significant role in digital content protection and authentication, featuring comprehensive algorithms for embedding, extraction, attack simulation, and quality assessment.