MATLAB-based Wavelet Transform Image Fusion

This MATLAB source code implements wavelet transform-based image fusion functionality. The wavelet transform serves as a mathematical tool that decomposes signals or images into sub-signals or sub-images at different frequency levels. Image fusion combines multiple images into a single composite image to extract useful information from each source. The implementation utilizes MATLAB's wavelet toolbox functions (such as wavedec2 for 2D wavelet decomposition and waverec2 for reconstruction) to perform multi-resolution analysis. The core algorithm involves decomposing input images into approximation and detail coefficients, applying fusion rules (like maximum selection or weighted averaging) to corresponding coefficients, and reconstructing the fused image through inverse wavelet transform. Users can modify parameters such as wavelet type (e.g., 'db4', 'sym4'), decomposition levels, and fusion rules to adapt the algorithm for different image fusion requirements. This program enables users to merge multiple images via wavelet transform, producing more detailed and comprehensive composite images suitable for applications in medical imaging, remote sensing, and computer vision.