MATLAB Toolbox for Image Fusion

This is a highly practical MATLAB toolbox for image fusion, designed to help users effectively implement various image fusion techniques. The toolbox incorporates multiple fusion algorithms such as wavelet transform-based methods, pyramid decomposition approaches, and deep learning-based fusion techniques, providing users with flexible implementation options through well-structured MATLAB functions like waveletFusion(), laplacianPyramidFusion(), and dlFusion(). It features an intuitive graphical user interface (GUI) that simplifies parameter configuration and real-time preview of fusion results. The package includes comprehensive documentation covering algorithm principles, function descriptions, and usage examples, making it suitable for both research and application development. Key functions handle image preprocessing, feature extraction, fusion rule implementation, and result evaluation, supporting various image formats including RGB, multispectral, and medical images. This toolbox serves as an essential assistant for image fusion projects, enabling users to achieve better research outcomes and practical applications through efficient code implementation and customizable parameters.