Image Fusion Toolbox

This documentation presents an image fusion toolbox discovered on an international technical platform. The toolbox demonstrates excellent practicality, particularly for comparative experimental studies. It implements advanced fusion algorithms through modular MATLAB functions, including wavelet transform-based fusion, pyramid decomposition methods, and deep learning approaches for multi-focus image integration. The package contains carefully selected source images requiring processing, which serve as standardized test datasets for proper validation and performance assessment of fusion techniques. These benchmark images enable researchers to quantitatively evaluate fusion quality metrics such as entropy, structural similarity index, and spatial frequency. The toolbox's object-oriented architecture allows easy integration of custom fusion algorithms while maintaining compatibility with standard image processing workflows. This resource proves particularly valuable for computer vision research and development, providing both theoretical foundations and practical implementation frameworks for image fusion applications.