MATLAB Implementation of Laplacian Image Fusion

Laplacian pyramid fusion is an advanced image processing technique where executing Laplacian pyramid operations directly produces fused images. The implementation typically involves constructing Gaussian pyramids for source images, computing Laplacian pyramids from differences between pyramid levels, and selectively combining coefficients from different frequency bands. The fused image effectively showcases both the Gaussian decomposed images and Laplacian transformed images through multi-scale representation. Through pyramid-based fusion algorithms, the resulting image achieves superior quality with enhanced detail preservation across different frequency components. Key MATLAB functions for implementation include: imgaussfilt() for Gaussian filtering, impyramid() for pyramid construction, and custom blending rules for coefficient fusion. The final fused image better preserves and displays characteristic features and information from original source images through optimized frequency-domain combination. The fusion process typically follows these computational steps: Gaussian pyramid construction for multi-resolution decomposition, Laplacian pyramid generation by subtracting successive Gaussian levels, fusion rule application at each pyramid level, and final reconstruction through pyramid collapse.