Image Fusion Algorithm Using Laplacian Pyramid

This program implements an image fusion algorithm based on Laplacian pyramid decomposition, producing outstanding results that serve as an important reference in the field of image fusion. The algorithm achieves high-quality fusion through multi-scale decomposition and reconstruction, effectively combining detailed information at different scales. Specifically, the implementation first performs pyramid decomposition on input images, then computes difference images at each level using the Laplacian pyramid. The algorithm subsequently synthesizes these difference images through weighted fusion techniques, and finally reconstructs the fused image through pyramid reconstruction. Notably, the program provides comprehensive parameter adjustment options, allowing users to fine-tune and optimize the fusion process according to specific requirements. From an implementation perspective, the code efficiently handles pyramid construction using Gaussian filtering and difference operations, while the fusion module employs customizable weight maps to control blending ratios at different pyramid levels. Overall, this program not only successfully implements the image fusion algorithm but also demonstrates breakthroughs in both algorithmic performance and flexibility, offering significant practical value and research reference value for computer vision applications.