DWT-Based Digital Image Watermarking

This document introduces the concept of "High-Capacity Wavelet Watermarking." To elaborate further on this technique, we provide additional implementation details. Before proceeding, ensure all project files are extracted into MATLAB's current working directory and execute "test_main" in the MATLAB command window. This critical step initiates the discrete wavelet transform (DWT) based watermarking process, which embeds and extracts watermarks using multi-resolution analysis. The algorithm leverages MATLAB's wavelet toolbox functions for decomposition and reconstruction, implementing capacity optimization through coefficient selection in high-frequency subbands. Following these steps precisely ensures proper execution of the watermark embedding and extraction procedures, maintaining the balance between watermark transparency and robustness. The main function coordinates subroutines for image preprocessing, DWT transformation, watermark encoding/decoding, and performance evaluation metrics calculation.