Digital Watermarking Based on Wavelet Transform and MATLAB Implementation

This article discusses digital watermarking technology based on wavelet transform and its MATLAB implementation. As an effective multimedia copyright protection technique, digital watermarking has gained increasing attention. We propose a wavelet-based image watermarking algorithm that embeds digital watermark information into high-frequency sub-band texture regions of wavelet-transformed images according to human visual characteristics. This approach ensures the watermark remains virtually undetectable to human vision. The MATLAB implementation involves key steps including: 1. Wavelet decomposition using functions like wavedec2() to generate frequency sub-bands 2. Adaptive embedding in textured regions of high-frequency components (HL, LH, HH) 3. Watermark extraction through correlation analysis between original and watermarked images Experimental validation using multiple test images confirms the algorithm's superior concealment characteristics and strong robustness against common image processing operations such as filtering, compression, and noise addition. The implementation demonstrates practical viability for digital rights management applications.