Implementation of DWT Algorithm for Digital Watermarking in MATLAB

In this documentation, I will present the implementation of a Discrete Wavelet Transform (DWT) algorithm for digital watermarking using MATLAB. The implementation begins with an explanation of DWT's fundamental principles, including multi-resolution analysis and coefficient decomposition. The MATLAB implementation utilizes key functions such as dwt2() for 2D wavelet decomposition and idwt2() for reconstruction, with detailed comments on coefficient manipulation for watermark embedding. I will provide comprehensive code examples demonstrating host image decomposition into LL, LH, HL, and HH subbands, along with watermark insertion strategies in specific frequency bands. The documentation includes practical explanations of embedding strength parameters, robustness considerations, and extraction algorithms. Additionally, I will discuss potential enhancements like adaptive thresholding, multi-level DWT implementation using wavedec2(), and performance optimization techniques for improved computational efficiency. This guide aims to provide complete technical understanding and practical application of DWT-based digital watermarking systems.