Image Fusion Quality Assessment Using Quaternion Analysis

This documentation presents a MATLAB implementation for image fusion quality assessment using quaternion analysis. The program incorporates the methodology described in the original research paper, providing both theoretical foundation and practical implementation. The implementation processes color images by representing them in quaternion form, where each pixel's RGB components are encoded as quaternion elements. Key functions include quaternion Fourier transform analysis, spatial domain processing, and fusion metric calculations. The algorithm evaluates fusion quality through multiple quantitative measures including structural similarity, information preservation, and spectral consistency. The MATLAB code features modular architecture with main components: - Quaternion image representation and preprocessing - Multi-scale fusion analysis using quaternion wavelet transforms - Quality metric computation (QI, SSIM, MI variants) - Visualization tools for comparative assessment Researchers and engineers can utilize this implementation to accurately evaluate image fusion results across various applications such as medical imaging, remote sensing, and computer vision. The program includes detailed comments and parameter configuration options to adapt to different fusion scenarios. The comprehensive documentation ensures easy integration into existing image processing workflows and facilitates comparative studies with other assessment methods.