MATLAB Implementation of 2D Wavelet Transform with Source Code

This is a classic source code implementation for performing 2D wavelet transform using MATLAB. Wavelet transform is a widely used algorithm in signal processing and image analysis that decomposes signals or images into sub-signals or sub-images at different scales and frequencies. The implementation includes key MATLAB functions such as wavedec2 for 2D wavelet decomposition and waverec2 for reconstruction, allowing multi-level decomposition of images into approximation and detail coefficients (horizontal, vertical, and diagonal). Through this source code, you can gain deep understanding of 2D wavelet transform principles and implementation processes, including filter bank operations and coefficient thresholding techniques. The code demonstrates practical applications in image compression, noise reduction, and feature extraction. Whether you're a beginner or professional, this source code provides valuable learning and practical opportunities for implementing wavelet-based algorithms in your projects, with clear comments and modular structure for easy customization.