MATLAB Source Code for Image Fusion Based on Laplacian Pyramid Decomposition

This document shares information about the MATLAB source code for image fusion based on Laplacian pyramid decomposition. This source code serves as a powerful tool for image processing and fusion applications. The implementation follows the principle of Laplacian pyramid decomposition, which works by breaking down images into different frequency components before performing fusion to achieve superior image quality. The core algorithm involves constructing Gaussian and Laplacian pyramids for each input image, where the Gaussian pyramid represents progressively blurred versions of the original image through downsampling, while the Laplacian pyramid captures the detail information at different scales through the difference between adjacent Gaussian levels. The fusion process typically combines corresponding levels of the Laplacian pyramids from multiple source images using specific fusion rules (such as selecting maximum coefficients or weighted averaging), followed by pyramid reconstruction to generate the final fused image. Using this source code, you can easily perform various image processing tasks, such as enhancing image details and contrast, or merging multiple images to create more creative composite results. The implementation includes key functions for pyramid construction (pyramid_decompose), fusion rule application (fusion_rules), and pyramid reconstruction (pyramid_reconstruct). The code offers significant flexibility, allowing customization and parameter adjustments to suit different image processing requirements through modifiable fusion rules and decomposition levels. In summary, this MATLAB-based image fusion source code using Laplacian pyramid decomposition is a robust and practical tool that can help achieve superior results in image processing applications, particularly in multi-focus image fusion, exposure fusion, and panoramic image stitching scenarios.