Multi-Source Image Fusion Method Using Lifting Wavelet and Fractal Theory with Source Code Implementation

This repository contains the source code implementation of a multi-source image fusion method based on lifting wavelet transform and fractal theory. The method aims to fuse images from different sensors or sources to achieve higher quality and more comprehensive information integration. By applying lifting wavelet transform for multi-resolution decomposition and fractal theory for texture analysis, the algorithm effectively extracts and combines features from multiple images through coefficient fusion rules and fractal dimension calculations. The implementation includes key functions for wavelet decomposition/reconstruction, fractal dimension computation, and fusion rule optimization, providing researchers and developers with a practical tool for image processing applications. Through this method, superior results can be achieved in multi-source image fusion tasks, enabling enhanced possibilities for applications in medical imaging, remote sensing, and computer vision.