Image Fusion Algorithm Using Laplacian Pyramid

This program implements an image fusion algorithm based on the Laplacian pyramid decomposition, achieving satisfactory blending results that can serve as a reference implementation.

The algorithm implementation follows a structured approach: first, it performs pyramid decomposition on input images using Gaussian filtering and downsampling operations. The Laplacian pyramid is then constructed by calculating differences between successive Gaussian pyramid levels, effectively separating high-frequency details from low-frequency components. The fusion process applies specific rules (typically weighted averaging or maximum selection) to combine corresponding pyramid levels from different source images. This multi-scale fusion strategy preserves important features from each input while maintaining smooth transitions. The algorithm demonstrates robust performance in various image processing applications, including image compositing, texture synthesis, and image restoration tasks. For developers interested in image fusion techniques, this implementation provides practical insights into pyramid-based multi-resolution analysis, showcasing key functions for pyramid construction, coefficient blending, and image reconstruction through pyramid collapse.